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As Director, Mid-Market Marketing you will own the global B2B marketing strategy for our mid-market advertisers within our SMB audience, building scalable, data driven solutions that drive retention and revenue growth. You will also lead the development and execution of account-based marketing strategies for high-value Mid-Market accounts, ensuring tight alignment with Sales and XFN partners. In this role you will partner closely with cross-functional partners to align on priorities, ways of working and integrated marketing plans, while building and growing a high-performing Mid-Market Marketing team. This role requires a strategic leader and operator who can act as a player-coach:  setting the long term vision and operating model for Mid-Market, managing resources and developing the capabilities of your team, while personally leading critical workstreams. 

What you’ll do:

• Build and grow the Mid-Market Marketing team by designing the right organization structure, hiring top talent, and investing in mentorship and professional development to help the team thrive.
• Set the vision and marketing strategy for Mid-Market advertisers at Pinterest, in partnership with XFN teams. 
• Lead and execute key Mid-Market marketing workstreams, including building a foundational lifecycle engine (spanning email, in-product education, business site, etc) and other marketing experiments to drive retention and revenue growth, with the ability to extend successful programs to priority SMB segments where appropriate.
• Design, launch, and scale account-based marketing programs for priority Mid-Market accounts, partnering closely with Sales, PMM, and Growth Marketing to align audience selection, messaging, and measurement.
• Champion a test and learn mindset across the team, encouraging the team to run experiments, iterate quickly and scale what works.  
• Build tracking mechanisms that create an environment of accountability for the working team's progression. Integrate velocity within the function by mobilizing the organization, removing obstacles, and enabling teams to focus on achieving high-quality results for the most important initiatives.
• Partner with and influence executive teams and senior stakeholders across Product, Engineering, PMM, Growth Marketing, and Sales to align on strategy, integrated plans, and ways of working.
• Leverage AI tools to accelerate efficiency, reduce production timelines, and free up bandwidth for higher-order strategic work.
• Utilize AI-assisted analytics and reporting tools to surface insights on marketing performance, identify trends across campaigns and channels, and make faster, smarter decisions about where to invest resources. Build a team culture that treats AI as a core working partner in the planning and measurement process.

What we’re looking for:

• 15+ years of experience in business marketing, with at least 10 years of experience specifically in Mid-Market or SMB Marketing.
• Proven experience in building teams, capabilities and programs from the ground up, ideally at a similar or competitive platform to Pinterest.
• Demonstrates mastery in changing or affecting the actions, behaviors, or perspectives of others without directly forcing those changes to happen.
• Moves the function forward through a mature decision-making process by gathering and circulating data with key partners, weighing alternatives explicitly, and considering risks. Willingly makes tough decisions and difficult trade-offs on behalf of the business.
• Navigates uncertain situations and provides direction and frameworks to the function that minimize delay. Effectively manages the stress that accompanies transitions and change and helps others adapt productively.
• Sponsors and mentors people from a variety of backgrounds and perspectives. Fosters a culture that encourages and supports inclusion and belonging, and applies understanding of differences to create value for the function.
• Demonstrated comfort and curiosity working with AI tools in a marketing context, with a proactive mindset toward exploring how emerging technologies can improve team output, campaign performance, and operational workflows. Ability to coach and inspire a team to embrace AI as a collaborative partner rather than a replacement, fostering a culture of continuous experimentation and innovation.
• Bachelor’s degree in marketing, a related field, or equivalent experience.
  
  

Relocation Statement:

• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

In-Office Requirement Statement: 

• We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
• This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.
  
  

#LI-REMOTE

#LI-PW1

Are you passionate about building impactful products for sales and finance teams? Come join the IT Enterprise Systems team at Pinterest where you will be responsible for advancing our sales and marketing systems.

What you’ll do:

• Design, build, and operate full‑stack applications and services on Pinterest’s enterprise infrastructure to support our Sales, Marketing, and Finance teams, from backend services and APIs through integrations and user‑facing workflows.
  
  
• Lead the technical design and implementation of GenAI/ML‑powered services and pipelines that automate and augment enterprise workflows (for example, summarizing sales interactions, enriching account data, or surfacing intelligent recommendations), including clear evaluation frameworks, observability, and validation guardrails.
  
  
• Own the end‑to‑end software development lifecycle for these systems: requirements gathering, architecture, implementation, testing, deployment, monitoring, and continuous improvement.
  
  
• Partner closely with product managers, business systems analysts, and other engineers to translate ambiguous business needs into well‑defined technical plans, success metrics, and deliverables—and to make thoughtful tradeoffs between scope, risk, and speed.
  
  
• Use AI coding tools and agents to accelerate development responsibly (e.g., drafting code and tests, iterating on designs, summarizing findings), while applying rigorous testing, code review, and observability to ensure quality and reliability.
  
  
• Mentor and coach other engineers on system design, GenAI/ML patterns, and AI‑augmented workflows, contributing to technical decision‑making and raising the bar on engineering practices within the team.

What we’re looking for:

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field, or equivalent combination of education and experience.
  
  
• Experience building systems or analytics used by Sales and/or Marketing teams (for example CRM or sales productivity tools, campaign management and measurement, or revenue operations workflows), with a clear understanding of how these partners use data and tooling to hit their goals.
  
  
• 10+ years of software engineering experience building and operating production systems, including full‑stack applications and/or backend services on a modern cloud platform (such as AWS or similar). Experience in enterprise or business systems environments is a plus.
  
  
• Strong proficiency in Python and experience with at least one of: Java, Node.js, and/or Javascript, with a track record of delivering reliable, maintainable code in collaborative engineering teams.
  
  
• Hands‑on experience designing and operating distributed systems and robust, fault‑tolerant integrations (e.g., REST/gRPC services, event‑driven architectures, or data pipelines) that support critical business workflows.
  
  
• Practical experience building or integrating GenAI/ML‑powered features or services in production—such as LLM‑based workflows, ML‑driven recommendations, or intelligent automation—including an understanding of evaluation, observability, and common failure modes.
  
  
• Demonstrated ability to use AI tools and agents to write, review, and validate detailed technical design documents (TDDs), specifications, and test plans as part of a spec‑driven, agentic development workflow, while maintaining ownership of technical decisions, quality, and correctness.
  
  
• Experience using GenAI coding tools (for example, Cursor, Claude Code, or similar) and/or agents in your development workflow, with a demonstrated ability to validate AI‑assisted output and maintain high standards for quality, security, and maintainability.
  
  
• Excellent communication, collaboration, and leadership skills, with the ability to work effectively across cross‑functional, diverse teams and to explain complex technical concepts—including GenAI/ML tradeoffs—to non‑technical partners.
  
  
• Outcome‑oriented mindset: you focus on delivering business outcomes rather than just technical outputs, using technology and AI thoughtfully to positively impact key performance metrics for Sales, Marketing, and Finance.
  
  
• Salesforce engineering experience (for example, Sales Cloud, Service Cloud, or Salesforce integrations) is a plus, especially where it supports Sales and Marketing workflows.

Relocation Statement:

• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

In-Office Requirement Statement:

• We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
• This role will need to be in the office for in-person collaboration 1-2 times every 6 months and therefore can be situated anywhere in the country.

#LI-REMOTE

#LI-JD3

Pinterest is seeking an experienced Security Engineer to build and implement detection and response improvements and adapt to emerging threats to protect employees and infrastructure. In this role you will have the opportunity to solve challenging problems and provide a meaningful impact on our overall security posture. We are looking for a candidate with a passion for both security and innovation.

What you'll do:

• Build alerts and automation workflows to improve capabilities to detect and response to external and internal security threats
• Manage our logging pipelines and infrastructure and onboard new logging sources to improve our detection coverage
• Develop and maintain internal tooling to expand and automate team detection and response capabilities
• Respond to alerts generated from our tooling and run incidents as part of an on-call rotation
• Collaborate with cross team partners
• Hunt for previously undetected threats in our environment
• Leverage AI to streamline and enhance the efficiency, accuracy, and coverage of security engineering

What we’re looking for:

• Bachelor’s degree in Computer Science, Cybersecurity or, a related field or equivalent experience
• Strong knowledge of intrusion detection and incident response with an engineering focus in a modern cloud first environment
• Knowledge of the attacker lifecycle, common attack and detection techniques
• Hands on experience with writing SIEM queries for alerting, response, and threat hunting
• Experience consuming threat intel and applying it to improve detection capabilities
• Familiarity with using multiple sources of telemetry for threat investigations: Eg. EDR, Osquery, Firewall logs
• Understanding of networking technologies and/or network security, basic TCP/IP network fundamentals
• Depth in ideally MacOS internals, or alternatively in Linux/UNIX or Windows internals, persistence mechanisms, privilege escalation techniques
• Scripting or automation experience (e.g., Python, Go, Ruby) for tool development or integration
• Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs.
• Strong track record of critical evaluation and verification of AI-assisted work (e.g., testing, source-checking, data validation, peer review)
• High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables

In-Office Requirement Statement: 

• We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
• This role will need to be in the office for in-person collaboration 1-2 times every 6-months and therefore can be situated anywhere in the country. 

Relocation Statement:

• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

#LI-REMOTE

#LI-JT1

We are hiring for a Spam Safety Specialist to join our Platform Integrity, Enforcement Ops Team based in the US. This role will have a direct impact on supporting Pinterest’s growth by creating scalable enforcement guidelines for new account spam policies, while also protecting Pinners by ensuring accurate and effective vendor enforcement.  In addition to the outsourced vendor teams, you’ll work closely with the other Platform Integrity  team members, the Policy Team, our Quality, Training and Vendor Management teams and be in close collaboration with other Trust & Safety colleagues such as our Product and Optimization partners. This role is an exciting opportunity to work with a mix of stakeholders while being involved in quickly expanding spam  space.

What you’ll do:

• Own and evolve Spam enforcement guidelines based on policy intent, operational signals and escalation learnings, identifying gray areas and recommending updates to Policy and Product.
• Own BPO performance for Spam workflows, monitoring KPIs (SLAs, QA, volume, AHT) and leading recovery plans with Quality, Training and Vendor Management when metrics are off track.
• Design and maintain Spam enforcement workflows and feedback loops, defining success metrics, reviewing trends and driving guideline, process and tooling changes.
• Act as the primary Spam enforcement point of contact for cross functional partners, providing clear guidance and recommendations.
• Lead complex Spam escalations end to end, coordinating investigations and responses to protect platform health and mitigate immediate harm.
• Partner with Product and Data on Spam signals and ML models, providing SME input and golden data sets and translating enforcement gaps into clear requirements and evaluation criteria.
• Partner with Sales to define and improve Spam related onboarding and offboarding processes that balance safety and revenue needs.
• Partner with Data, Product and Shared Services to identify high value AI and agent use cases, provide SME input and champion adoption to reduce manual review load without sacrificing precision.
• Write and maintain clear enforcement documentation (guidelines, runbooks, comms, FAQs, status updates) that enables consistent enforcement and stakeholder communication.
  
  

What we’re looking for:

• Bachelor’s degree in a relevant field or equivalent experience.
• 5+ years in tech working in enforcement and/or Spam, with end to end ownership of complex operational workflows.
• Proven experience leading operational or support programs: setting goals, monitoring KPIs and driving recovery plans.
• Significant experience with outsourcing / scaled support, including setting expectations, calibrating quality and holding vendors accountable.
• Strong customer focus and curiosity; you put Pinners and partners first, dig into root causes and ship solutions that improve safety and trust.
• Strong critical thinking and judgment in ambiguous situations, using data and policy intent to make sound decisions.
• Demonstrated ability to manage multiple projects and stakeholders in a fast changing environment.
• Excellent written and verbal communicator who can present findings, influence cross functional partners and drive alignment.
• Experience partnering with Data / Product to use AI or automation for workflow improvements (for example, SME input into agents, signals or tools used in enforcement).

Relocation Statement: 

• This position is not  eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

In-Office Requirement Statement: 

• We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
• This role will need to be in the office for in-person collaboration 1-2 times every 6-months and therefore can be situated anywhere in the country. 

#LI-REMOTE

#LI-ES

Marqeta is seeking an experienced Staff Software Engineer to independently drive the identification and delivery of complex software solutions on our Banking and Money Movement Team. In this role, you will lead end-to-end delivery across multi-component systems and multi-milestone initiatives, taking full ownership of projects aligned to quarterly team goals. You will navigate ambiguous, open-ended technical challenges with autonomy, defining the path forward where problems are not yet well-scoped. You will serve as a technical leader and trusted collaborator — partnering closely with your team and cross-functional stakeholders to align on priorities and deliver high-impact outcomes.

The Banking and Money Movement engineering team develops and optimizes financial services, including account creation, transaction processing, payment systems, banking integrations, reporting, and reconciliation. We work collaboratively to ensure secure, efficient, and innovative solutions that meet regulatory standards and enhance user experiences in moving the money.

We work Flexible First. This role can be performed remotely in the United States, only in one of our National locations, which you can review here.

Learn more about our Product and Engineering team

The Impact You'll Have

• Lead the design and architecture of large-scale, complex systems and components, making decisions that impact both short-term and long-term product strategy.
• Take ownership of major technical initiatives, providing direction to teams while ensuring alignment with customer needs and business goals.
• Drive architectural improvements, optimizing for scalability, performance, and maintainability, while addressing both current and future system requirements.
• Mentor and guide other engineers, providing technical leadership and fostering an environment of growth, learning, and excellence across the team.
• Collaborate closely with cross-functional stakeholders, including product, design, and other engineering teams, to define and deliver high-impact solutions.
• Develop and maintain a deep understanding of the product, business needs, and user experience, ensuring that engineering decisions align with company goals.
• Independently drive the design and implementation of high-impact features and systems, ensuring high-quality deliverables with minimal supervision.
• Drive innovation and champion the adoption of best practices across the engineering team, while challenging the status quo to continuously improve processes.
• Be an advocate for software craftsmanship, ensuring code is clean, efficient, and aligned with the organization's architectural vision.
• Participate in setting the technical vision and long-term roadmap for your area of the product and ensure that the team is aligned with these goals.
• Participate in on-call coverage. 

Who You Are

• 8+ years of experience in backend engineering, with a strong foundation in system design and architecture.
• 3+ Experience with payments or the FinTech space.
• Proven experience leading technical projects and teams, with the ability to make decisions that drive the overall success of the product.
• Deep expertise in one or more backend technologies (e.g., Java, Python), relational databases (MySQL, Postgres, MS SQL Server, Oracle, etc.)., and significant experience with web services, microservices, and distributed systems.
• Experience working with large-scale, high-performance, and reliable systems.
• Ability to break down complex business problems into elegant, scalable technical solutions, working with multiple interacting components.
• A strong track record of designing, building, and scaling maintainable, robust systems, ensuring high availability and minimal technical debt.
• Experience in creating and maintaining technical roadmaps, and providing leadership to ensure successful delivery of projects.
• Excellent communication skills, with the ability to present complex technical concepts to both technical and non-technical audiences.
• A strong focus on quality and a commitment to meeting deadlines, while maintaining a high level of accountability.
• Experience in mentoring and guiding less-experienced engineers, fostering technical growth and fostering high-performing teams.

Nice to haves

• Production experience with AWS, Kubernetes, or other cloud platforms.
• Experience with building scalable software platforms.
• Experience leading teams through significant technical challenges and driving organizational change.
• Experience with containerization and orchestration tools like Docker/Kubernetes.
• Experience with Python or other modern programming languages.
• Experience in developing cloud infrastructure on AWS using Terraform.

Our (typical) process:

1. Application submission
2. Recruiter video call
3. Coding interview and Hiring Manager Interview
4. Virtual “Onsite” consisting of four 45-60 minute rounds
5. Offer!

Compensation and Benefits

Marqeta is a Flex First company which allows you to choose your best working environment, whether that be from home or at a company office. To support Flex First, we calibrate pay to a competitive value according to working location. Compensation is aligned according to three tiers within the United States:

• National: A baseline tier that applies to most of the geographic territory of the United States.
• Premium: Slightly elevated from the National tier, and oriented toward a narrower set of higher cost-of-living areas, such as Los Angeles CA and Seattle WA
• Premium Plus: A tier for the most expensive working areas, like the San Francisco Bay area and New York City.

Visit this page or consult with a Recruiter to determine which tier would be applicable to you.

When determining salaries, we consider several factors including, but not limited to, skills, prior experience, and work location. The new-hire base salary range for this position is:

• National: $174,700 - $218,400

We also believe in recognizing the contributions of our people. That's why we award annual bonuses to eligible employees, rewarding both individual performance and the success of the entire company.

Along with monetary compensation, Marqeta offers

• Multiple health insurance options
• Flexible time off – take what you need
• Retirement savings program with company contribution and after tax contributions
• Equity in a publicly-traded company and an Employee Stock Purchase Program
• Family-forming benefits, fertility support, and up to 20 weeks of Parental Leave
• Free therapy sessions, financial and professional coaching, and legal advice
• Monthly stipend to support our remote work model
• Annual “development dollars” to support our people growth and development
• Through Flex First, the freedom to live and work wherever you and your family thrive

About the role:

We are looking for a GRC Analyst to join our Governance, Risk & Compliance (GRC) team. You will have the opportunity to manage and maintain ongoing compliance with security and privacy frameworks, policies, procedures, and commercial assessments, including ISO 27001, SOC 2, HIPAA, PCI DSS, and more. Your role will be instrumental in ensuring that our company operates ethically, responsibly, and in accordance with regulatory requirements.

You will collaborate with cross-functional teams to promote a culture of accountability and integrity throughout the organization and foster an environment where everyone understands the importance of adhering to established guidelines and ethical practices. You will report to the Head of GRC and will be located ((remote, onsite, hybrid)).

Think you may not have all the skills and are hesitant to apply? There is no “perfect” candidate and encourage you to apply if you think that you can bring value to our team and are passionate and committed to upholding the highest standards of compliance and ethics.

If you’re based within a pre-determined commuting distance of one of our offices (SF, NY, London, or Berlin), the role includes in-office anchor days on Monday, Tuesday, and Friday, even if the role is listed as remote. For location-specific details, please connect with our recruiting team.

What you will do:

• Collaborate with internal teams to maintain an effective suite of internal controls and driving remediation efforts to completion with clear documentation of progress.
• Build strong working relationships across the business so compliance accountability is shared and stakeholders are informed.
• Streamline annual audits by managing audit deliverables, developing treatment plans, and coordinating across teams to document and track completion to ensure audit success.
• Monitor and improve controls, processes, and evidence management practices, identify opportunities to automate and streamline GRC operations, and contribute to controls maturity scoring and reporting
• Enable go-to-market teams and accelerate deal cycles by supporting security questionnaires, addressing compliance inquiries, and maintaining clear, customer-facing documentation on Vercel’s security and compliance posture.
• Design and manage company training and enhance visibility on compliance-specific topics for internal stakeholders to ensure an understanding of compliance, ethics, and regulatory requirements within the organization.

About you:

• At least 3 years of relevant experience in supporting the audit lifecycle in a cloud-centric environment (SOC 2, ISO 27001, PCI, HIPAA, etc.), with strong organizational skills to be flexible and proactive in a high-growth, start-up environment.
• Experience collaborating closely with internal partners to seamlessly incorporate policies and technical controls into the SDLC.
• Strong project management skills and sense of ownership with the ability to communicate and collaborate effectively, and execute projects across various business units and levels.

Bonus if you have :

• Strong experience with cloud infrastructure (e.g., Azure, AWS)
• Familiarity with compliance or software development tools and systems (e.g., Drata, Linear, Datadog, etc.)
• Experience with frontend development and open source components
• Relevant industry certifications (i.e., CISM, CISSP, CCEP) is a plus, but not required

Benefits:

• Competitive compensation package, including equity.
• Inclusive Healthcare Package.
• Learn and Grow - we provide mentorship and send you to events that help you build your network and skills.
• Flexible Time Off.
• We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed.

The San Francisco, CA base pay range for this role is $134,000-$202,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process.

The Sales Strategy & Operations (SS&O) team guides and deploys critical business decisions across the advertising sales organization through strategy, analytics and operations. Team members are experts in business strategy and operations, as well as analytical and strategic thinking. They are pragmatic and results-oriented.

As a Senior Sales Strategy & Operations Manager for North America Enterprise you’ll partner closely with our North America Enterprise SS&O team and sales leaders to develop and bring to life data-driven strategies to accelerate growth in the business.

What you’ll do:

• Work directly with key sales leaders on critical strategic, organizational and operational projects designed to increase revenue, sales productivity and operational efficiency.
• Structure and execute on projects by developing work plans, gathering and synthesizing relevant data, leading analyses and developing final recommendations.
• Analyze and determine key insights from key business drivers, trends and operating metrics. Translate data into insights and action, and communicate recommendations to sales leadership and the broader organization.
• Take advantage of large amounts of structured data to understand how our customers interact with our product and service offerings.
• Work with and influence cross-functional teams including Finance, Marketing, Measurement, and Product.
• Proactively identify and redefine processes and systems that improve and scale our business.
• Support company-level strategy-setting and planning efforts.
• Apply AI for data analysis and insight generation: leverage AI tooling to simplify and speed up data analysis and insight generation.  Ensure strong understanding of AI outputs and connection back to data sources of truth and validating AI outputs.
• Standardize and automate workflows using AI tooling: documenting and improving recurring sales processes, building templates, checklists, and lightweight “mini‑agents” or scripts that remove manual work from planning, reporting, and sales operations.

What we’re looking for:

• 6+ years of professional experience in strategy & operations in a fast-paced, highly analytical environment, for instance: management consulting, investment banking, tech/media or or revenue/sales strategy & operations).
• Exceptional analytical and quantitative skills — you are comfortable working with large, complex datasets, building models and forecasts, and stress‑testing assumptions to arrive at sound, data‑driven recommendations.
• High data fluency and tool comfort — advanced proficiency in Excel/Sheets and data visualization tools (e.g., Tableau, Looker) is expected; familiarity with SQL and querying large datasets is a strong plus.
• Proven experience building metrics frameworks, dashboards, and reporting that help senior leaders quickly understand business performance and make decisions, including owning definitions, documentation, and change management.
• Demonstrated ability to partner closely with senior sales leaders (Director/VP+) to define strategy, build annual and quarterly plans, forecast revenue, and drive accountability against goals.
• Strong structured problem‑solving skills and comfort driving decisions in ambiguous, evolving situations where goals, data, or processes are not yet fully defined.
• Excellent communication and storytelling skills — able to synthesize complex analyses into clear narratives, build compelling materials, and influence cross‑functional partners and senior stakeholders who may not be in your direct line of control.
• Organized, detail‑oriented and strategically focused, with a track record of driving measurable impact in complex, matrixed, and fast‑moving environments.
• AI native / AI first instincts – candidates are expected to use internal AI, agentic tooling as a default first step for problem-solving, research, and answering sales/operational questions before escalating to humans
• Can explain examples of using AI to structure ambiguous problems, generate hypotheses, or explore “what‑if” scenarios (e.g., coverage models, segmentation, capacity planning).
• Has used AI tools (Claude/Gemini/Codex, SQL or analytics copilots) to query data, build models, or QA numbers in an SSO environment (revenue forecasts, CRM activity logs, sales pipelines)
• Has built agentic or automated workflows using AI tooling or low/no-code workflow automation tools (Zapier, Move, Airtable). Can explain what good looks like for AI prompting and Agentic Workflow setups
• Bachelor’s degree in a relevant field such as business, economics, statistics, engineering, or a related field, or equivalent practical experience.

In-Office Requirement Statement

• We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
• This role will need to be in the office for in-person collaboration approximately 1x per week and therefore needs to be in a commutable distance to the New York office (preference) or any of our US offices; San Francisco, Atlanta, Chicago, Detroit, Los Angeles, Palo Alto, Seattle, or Washington.

Relocation Statement:

• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

#LI-HYBRID

#LI-AKEO

Intro:

We’re looking for a highly adaptable Principal Product Designer, AI Native to join our Core design team. You’ll support projects and teams across the suite of Pinterest business products, ramping up quickly where help is needed most. You’ll collaborate with teammates in a dynamic environment, regularly tackling new design challenges.

What you’ll do:

• Establish the strategic direction and product vision for our most complex problems, including the future of integrating AI based assistive tools into our consumer product, while bridging the gap between vision and execution
• Be at the forefront of major design initiatives and broadcast the efforts of the design team across Pinterest
• Set and refine the design quality bar, in partnership with design leadership, through our principles and design system
• Be responsible for mentoring and helping grow talent within the team

What we’re looking for:

• 12+ years with a track record of shipping inspiring well built experiences leveraging the latest technology
• Experience with LLMs, prompt shaping/engineering, prototyping, and working on AI product flows and with agentic systems
• A respected designer and product thinker that has mastered their craft and cohesive product strategy, ideally a renaissance person with endless curiosity
• A mentor who is energized by growing others’ careers and knows how to motivate a team
• An inspiring communicator that represents creative work, builds trust and influences alignment of our creative vision across marketing, PR and product
• A portfolio demonstrating breadth and creativity and proven experience in product design, design thinking and product strategy
• Bachelor’s degree in design, a related field or equivalent experience

Relocation Statement:

• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

In-Office Requirement Statement:

• We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
• This role will need to be in the office for in-person collaboration 1-2 times every 6-months, and therefore can be situated anywhere in the country.

#LI-REMOTE

#LI-JD3

A Healthier Future Starts With You

As a Head Coach (General Manager), you're the leader, strategist, and mentor of your store. You'll inspire your team, drive operational excellence, and deliver exceptional guest experiences using data-driven insights to build healthier communities through real food.

What You’ll Do

Lead your team by balancing people, operations, and business performance. Build an inclusive culture while coaching talent, using technology to optimize operations and drive profitability. Maintain high standards of food quality, safety, and cleanliness while adapting to a dynamic environment.

Essential Functions

• People + Team Leadership: Lead the full employee lifecycle while fostering a culture of trust, transparency, and inclusion. Ensure compliance, deliver timely feedback, and develop a strong, diverse talent pipeline.
• Food Safety + Operations: Maintain high standards for food safety, cleanliness, and equipment maintenance, resolving facility, supply, and food quality issues while prioritizing team safety.
• Customer Experience: Deliver clean, hospitable, and brand-aligned experiences, acting on guest metrics and making data-informed business decisions.
• Financial + Business Acumen: Drive sales and profit by analyzing reports, managing costs, executing strategic plans, and creating effective schedules aligned with business goals.
• Systems, Process + Technology: Operate and support all systems, troubleshoot issues, and prioritize daily operations to ensure smooth business and guest experiences.
• Execute Head Coach Career Path Duties: Perform all essential functions outlined in the Assistant Coach role, including those from the Shift Leader, Kitchen Lead, and Team Member roles.

What Makes You Stand Out

• Experience in high-volume, fast-paced restaurants.
• Hands-on experience with local, organic, and sustainable products
• ServSafe Manager or Regional Manager Food Safety Certification
• Tech-savvy and comfortable using digital tools for operations, reporting, and team communication
• Strong financial acumen: managing budgets, labor, and P&L effectively
• Proven experience hiring, coaching, and developing high-performing teams
• Exceptional adaptability and problem-solving in fast-paced, dynamic environments
• Data-driven mindset with curiosity to identify and implement operational improvements
• Commitment to operational excellence, hospitality, and team engagement
• Experience in fast-casual or retail operations is a plus

Minimum Requirements

• Meet all physical requirements of all roles within the career path of the Head Coach including Assistant Coach role, Shift Leader, Kitchen Lead, and Team Member.
• 3+ years in food service, with at least 2 years in hands-on management
• Experience hiring, developing, training, and motivating team members
• Skilled in planning, managing, and forecasting financials, labor, and inventory
• Hands-on experience managing and optimizing processes in a fast-paced environment
• Proven ability to lead and mentor teams collaboratively

What Perks You’ll Get

• Competitive base salary + 20% bonus potential
• Medical, dental, + vision plans
• Paid vacation + wellness time
• 401(k) program
• Paid family leave
• Complimentary greens and Sweetgreen swag
• Opportunities to impact your team, community, and business
• A collaborative team that lives our core values
• Clear career path for personal and professional development

Who We Are

Sweetgreen is a national restaurant brand dedicated to building healthier communities by connecting people to real food. Since 2007, Sweetgreen has reimagined fast food to be fresh, flavorful, and rooted in relationships with farmers and communities. As we grow, we are committed to developing our people in our restaurants and at our support center, so that everyone can be part of the movement. When you join Sweetgreen, you not only invest in your own future but help create spaces where food, people, and purpose come together.

The Conversion Visibility Modeling team enables a performant ads marketplace and helps prove value to advertisers by connecting Pinterest onsite activity with conversions that happen offsite (both digital and physical) in a privacy-preserving way. As a Machine Learning Engineering Manager on this team, you will lead a hybrid team of ML engineers and backend software engineers to build end-to-end identity and conversion visibility solutions across modeling, serving, and data infrastructure, so advertisers retain accurate, privacy-aware performance visibility as signals fragment and degrade. You will set the technical direction for high-impact ML systems that feed ranking, bidding, measurement, and reporting across Pinterest’s ads stack.

What you’ll do: 

• Attract, hire, develop, and lead a hybrid team of ML engineers and backend software engineers, fostering strong collaboration across modeling and infrastructure and building an inclusive, high-performing environment where the team can deliver end-to-end solutions. 
• Lead a team responsible for the strategy, execution, and operational excellence of identity and conversion signal modeling systems (e.g., user match prediction, conversion type/value prediction, probabilistic attribution and deduplication) that improve match precision/recall and downstream conversion quality across web and app surfaces.
• Partner closely with product managers, data scientists, and tech leads to shape problem definitions, translate business needs into technical strategy, and drive execution toward high-impact outcomes.
• Collaborate closely with Ads Ranking & Bidding, Measurement Products, and Conversion Ingestion & Attribution teams to define interfaces, SLAs, and success metrics that enable end-to-end identity and conversion visibility systems—including models, data pipelines, and serving surfaces—to integrate cleanly into the broader ads ecosystem.
• Establish engineering best practices across both ML and backend development, including data quality, feature and data pipelines, model evaluation, experimentation, service reliability, and operational excellence, so the team can build trustworthy ML-powered systems end to end.
• Use AI to accelerate analysis and iteration on model ideas and architectures, while applying strong judgment, testing, and verification to ensure correctness, reliability, and advertiser trust.

What we’re looking for:

• 7+ years of experience building and deploying large-scale ML systems in production (e.g., ads, measurement, recommendation, ranking, or search).
• 2+ years of experience as an engineering manager or technical lead.
• Bachelors Degree in Computer Science, Statistics, or a related technical field, or equivalent experience.
• Nice to have: Meaningful hands-on experience or strong familiarity with ads conversion attribution, identity matching, ads ranking or ads measurement domains.
• Proven technical leadership across both ML and software systems, with experience setting direction for multi-quarter roadmaps that span modeling, data pipelines, backend services, and productionization, and aligning stakeholders on priorities, trade-offs, and execution plans.
• Excellent cross-functional communication and collaboration skills, building strong partnerships with product, data science, infra, and partner ML teams to clarify ambiguous problem spaces, co-create solutions, and drive consensus with senior stakeholders.
  
  

Relocation Statement:

• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

In-Office Requirement Statement:

• We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
•  This role will need to be in the office for in-person collaboration 1 day per week and therefore needs to be in a commutable distance from one of the following offices [Seattle or Bay Area].
  
  

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Job Title: Staff Software Engineer, Edge Team.

Intro: The Edge team owns the systems (including CDN, TLS, DNS, ingress/egress proxy fleet, and rate limiting) that connect 600M+ users to Pinterest. We're looking for a Staff Software Engineer to lead our efforts to manage automation traffic (such as bots and crawlers) at the Edge, while shaping the future of our rate limiting platform..

What you’ll do: 

• Build Edge systems that combine in-house implementation, open-source software like Envoy proxy, and multiple CDN & DNS providers. Balance what to build, what to leverage from the community, and what to orchestrate across vendors.
• Drive automation traffic management efforts in the Edge space, designing solutions to manage bots and crawlers at scale.
• Design and implement request processing logic in Envoy to support Edge capabilities such as routing, traffic classification, and enforcement. Write, review, and maintain code written in C++, Golang, and Python.
• Collaborate with CDN vendors and internal platform teams to define integration points.
• Study internal user pain points with the rate limiting platform and translate findings into a prioritized roadmap.
• Mentor engineers within the team and demonstrate technical leadership through design reviews, pairing, and coaching.
• Use AI to accelerate prototyping, analysis, and operational tasks, while applying engineering judgment to verify correctness and production-readiness
• Participate in oncall for Edge systems and drive incident response, post-mortems, and reliability improvements.

What we’re looking for:

• 6+ years of experience in infrastructure, networking, or platform engineering, with a deep focus on traffic management systems (CDN, HTTP gateways, service mesh, or load balancing).
• Experience with bot detection, scraping prevention, or automation traffic management systems is a plus.
• Proficiency in C++, Golang, or Python, with experience developing L7 HTTP proxies such as Envoy, Nginx, Varnish, and Traefik.
• Deep understanding of network protocols across L3-L7 and hands-on experience debugging production networking issues at scale.
• Experience gathering requirements from internal users, aligning cross-functional stakeholders, and delivering credible technical plans.
• Proven ability to design distributed systems architectures and drive them from proposal through proof of concept to production.
• Demonstrated experience using AI to accelerate engineering workflows (design exploration, code generation, operational analysis), with a clear approach to validating correctness and quality.
• Bachelor's, Master's, or PhD degree in Computer Science, Computer Engineering, or a related field, or equivalent experience.

Relocation Statement:

• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

In-Office Requirement Statement: 

• We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
•  This role will need to be in the office for in-person collaboration 1-2 times every 6-months and therefore can be situated anywhere in the country. 

 #LI-REMOTE

#LI-KBF

About tvScientific

tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform. Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business.

The Ad Server team is seeking a technical leader to oversee tvScientific’s emerging ad server stack and help drive the ad server independence initiative. This role will be responsible for leading key architectural decisions across core components and integration interfaces, while coordinating the subteams responsible for bidder infrastructure, index building, and VAST serving, initially through dotted-line leadership and over time through direct management of a growing multidisciplinary team.

What you’ll do: 

• Lead and make key architectural decisions across the tvScientific ad server tech stack and its major integration points.
• Take technical ownership of the ad server independence roadmap, including developing a clear understanding of the current state of initiatives, ownership across subcomponents, and resourcing needs.
• Oversee and organize the subteams supporting the initiative, including bidder, index building, and VAST serving.
• Serve as the technical DRI for bidder integration work with Pinterest, partnering closely on milestone sequencing, delivery planning, and execution.
• Identify and drive opportunities for shared components and common infrastructure with Pinterest where it makes strategic and technical sense.
• Participate in key strategic technical roadmap and architecture decisions for the Ad Server team.
• Help scale the team over time, including supporting the growth of a multidisciplinary engineering organization.
  
  

What we’re looking for:

• Bachelor’s degree in Computer Science, Engineering, a related field, or equivalent practical experience.
• 9+ years of software engineering experience, including 5+ years of ad industry experience with 3+ years deep in programmatic ad tech.
• 5+ years of engineering management experience.
• A history of designing scalable, resilient, and observable production systems.
• Demonstrated ability to build and operate high volume, data-intensive services.
• Experience working with ML in low-latency environments.
• Strong data literacy and the ability to use data to inform technical and strategic decisions.
• Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs.
• Strong track record of critical evaluation and verification of AI-assisted work (e.g., testing, source-checking, data validation, peer review).
• High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables.

Relocation Statement:

• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

In-Office Requirement Statement: 

• We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.

#LI-REMOTE

#LI-SM4

We are seeking an experienced Safety Policy Lead to own Discord's youth safety policy portfolio. As a member of the Safety Policy team within Product Policy, you will drive policy development and lifecycle management across the full spectrum of youth safety harms: child sexual abuse material, grooming, and child exploitation. This role requires deep domain expertise, strong regulatory literacy, and the ability to translate complex child safety requirements into enforceable policy and durable implementation.

This is a lifecycle ownership role, not a drafting role. You will be accountable for policy quality from problem identification through enforcement quality, with visibility into implementation, QA, and the feedback loops that determine whether policy intent survives contact with enforcement.

Please note: This role involves regular exposure to potentially disturbing content, including child sexual abuse material, exploitation imagery, and grooming-related content. Wellness support is provided.

What you'll be doing

• Research and develop safety policies governing youth safety harms on Discord, including CSAM, grooming and solicitation, child exploitation, and age assurance, covering both reactive harm response and proactive age-appropriate design.
• Own the full policy lifecycle for your domain: problem scoping, data justification, structured XFN consultation, testing against enforcement criteria, and post-launch feedback loop management.
• Partner with Legal early in the development process. Embed compliance requirements for KOSA, COPPA, DSA Article 28, and the Online Safety Act into policy design before drafting begins.
• Co-develop enforcement infrastructure with Trust and Safety, Engineering, and ML teams, including golden datasets, classification hierarchies, ML signal specifications, and IKB anchor criteria.
• Own the feedback loop from implementation and QA back to your policy work. When QA findings or overturn data indicate a policy gap, you drive the revision.
• Collaborate with civil society, NCMEC, ICAC, and other external child safety organizations. Represent Discord externally in this domain with credibility and consistency.
• Deliver rapid policy responses to emerging child safety threats, including cross-functional coordination during incidents and regulatory notifications where applicable.
• Own at least one functional domain area for the Safety Policy team beyond your harm portfolio. Current team needs include policy implementation systems, AI/LLM governance, or safety-by-design frameworks.
• Eepected travel: 15%

What you should have

5 or more years of experience in trust and safety, policy development, or child safety roles at a technology platform or civil society organization focused on child protection.Deep expertise in youth safety: CSAM, NCMEC/ICAC frameworks, CSAM hash-matching systems, grooming and solicitation patterns, age assurance methodologies, and the regulatory landscape governing minors online.Direct experience with KOSA, COPPA, DSA child safety provisions, and/or the Online Safety Act. Regulatory literacy is required, not a bonus.Proven ability to write policy that survives implementation: clear enforcement criteria, defined classification hierarchies, and usable edge case guidance.Experience working with ML and automation teams to translate policy criteria into detection signals. You do not need to write the model, but you need to know what the model needs from you.Comfort making decisions under ambiguity and pressure.Strong written and verbal communication for audiences ranging from frontline moderators to regulators to executive leadership.Bachelor's degree or equivalent professional experience.

Bonus points

• Advanced degree in law, public policy, child development, psychology, or a related field.
• Experience with Discord's platform or gaming and creator communities.
• Multilingual capabilities, particularly in languages relevant to Discord's global user base

Candidates must reside in or be willing to relocate to Los Angeles.

The US base salary range for this full-time position is $192,000 to $216,000 + equity + benefits. Our salary ranges are determined by role and level. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include equity, or benefits.

Intro: The Service Communications team manages the foundational high-layer networking systems ensuring reliable, secure, and performant service-to-service interactions at Pinterest. Our Envoy-based mesh and multi-language frameworks provide critical primitives for hundreds of internal services, and we are looking for a Staff Engineer to lead technical strategy across identity, traffic optimization, and platform scaling.

What you’ll do: 

• Architect and deploy advanced service mesh features, focusing on service discovery, traffic shaping, and deep observability using Envoy proxy.
• Lead the organization-wide adoption of service identity and mTLS to satisfy critical AAA security requirements for service-to-service paths.
• Design traffic optimization primitives like locality-aware routing to materially reduce data transfer costs for high-volume service traffic.
• Maintain and modernize service framework libraries in Java, Python, and C++, enhancing the developer experience and operational reliability.
• Collaborate with service owners across the company to drive adoption and refine infrastructure requirements for emerging feature needs.
• Partner with infrastructure peers on multi-region and multi-cloud strategies that rely on robust service communication primitives.
• Use AI to accelerate analysis and iteration, while applying judgment and verification to ensure correctness and quality.
• Join the team oncall rotation to manage incident response, perform post-mortems, and drive long-term reliability improvements.

What we’re looking for:

• 6+ years of infrastructure or platform engineering experience, specifically within distributed systems or RPC framework development.
• Deep technical expertise in service mesh technologies such as Envoy or Istio, including hands-on experience with L7 proxying.
• Proficiency across multiple languages (Java, Python, C++) and a track record of building internal libraries or developer tools.
• Strong understanding of service security, including mTLS adoption and identity management via SPIFFE/SPIRE.
• Proven ability to design highly available and efficient distributed systems at massive scale.
• Demonstrated experience driving the adoption of complex platform capabilities across diverse cross-functional engineering teams.
• Demonstrated experience using AI to accelerate engineering workflows, with a clear approach to validating accuracy and quality.
• Bachelor’s/Master’s degree in Computer Science, a related field, or equivalent experience.

Relocation Statement:

• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

In-Office Requirement Statement:

• We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
• This role will need to be in the office for in-person collaboration 1-2 times every 6-months and therefore can be situated anywhere in the country. 

#LI-REMOTE

#LI-KBF

Intro: Pinterest’s Service Configuration & Coordination team builds the platforms, APIs, and tooling that make dynamic configuration and service coordination safe, scalable, and reliable for every service across regions and clouds, serving as the central hub for cross-functional alignment and system orchestration. As a Senior Staff Software Engineer (IC17), you’ll own the end-to-end technical strategy and long-term vision for our configuration and coordination infrastructure. You’ll define the future of these mission-critical systems, partnering closely with Traffic, Compute, Observability, and Cloud Architecture teams to deliver robust, high-performance solutions at scale.

What you’ll do: 

• Orchestrate the long-term technical vision for configuration ecosystems to ensure feature flags, ML settings, and experiments utilize unified paved paths. You will champion operational safety through standardized validation, staged rollout mechanisms, and robust governance frameworks across the organization.
• Spearhead the transition from legacy substrates by migrating mission-critical use cases to modern platforms. You will establish scalable onboarding patterns that enable engineering teams to evolve their configuration lifecycle with precision and minimal friction.
• Architect the next generation of control plane interfaces and diagnostic surfaces. By engineering high-performance, read-optimized APIs, you will empower human operators and automated assistants to seamlessly manage and reason about complex production states.
• Direct the integration of coordination stacks within the broader deployment and multi-region landscape. Your leadership will refine service discovery and substrate architecture to accelerate regional expansion while eliminating bespoke toil and architectural circularity.
• Leverage AI to catalyze infrastructure design and analytical phases, utilizing assistant-enabled workflows to synthesize partner requirements into executable roadmaps. You will maintain absolute accountability through rigorous data validation, metric-driven reviews, and comprehensive peer verification.

What we’re looking for:

• Decade-plus mastery in high-scale infrastructure and distributed environments, with a track record of architecting or managing business-critical backend substrates in production settings.
• Proven expertise in orchestrating cross-functional technical strategies for control-plane systems (e.g., experiments, feature flags, or ML config), unifying disparate teams around standardized and safe rollout methodologies.
• Advanced proficiency in distributed coordination and substrate design—capable of navigating complex consistency models, failure domains, and the engineering of resilient, high-leverage abstractions.
• Experience aligning configuration surfaces with deployment pipelines and orchestration frameworks (e.g., IaC or CI/CD), with a focus on mitigating architectural circularity and reducing service owner toil.
• History of elevating senior engineering talent while steering parallel workstreams, synthesizing loosely coupled initiatives into a unified technical vision and executable roadmap.
• Ability to catalyze execution via AI-enabled workflows (e.g., design synthesis, analytical phases, or documentation) while ensuring rigorous accountability through data validation, peer review, and metric-driven verification.
• Extreme ownership and professional integrity: dedicated to safeguarding data, maintaining human-in-the-loop oversight for automated outputs, and taking full responsibility for long-term architectural outcomes.
• Bachelor’s/Master’s degree in Computer Science, Computer Engineering, or a related field, or equivalent experience.

Relocation Statement: 

• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

In-Office Requirement Statement: 

• We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
• This role will need to be in the office for in-person collaboration 1-2 times every 6-months and therefore can be situated anywhere in the country.

#LI-REMOTE

#LI-KBF

As Marqeta's Manager, Software Engineering within our Risk, Fraud and Disputes pod, you will lead the design, development, and execution of our Identity Platform. You will be responsible for building and operating systems that manage the full KYC lifecycle, from Customer Identification Program (CIP) verification at account opening (name, DOB, address, ID validation) to ongoing Customer Due Diligence (CDD) and continuous risk monitoring, as well as KYB, sanction screening, and Red Flag rules under the AML/BSA umbrella. This is a hands-on leadership role for someone who is AI-first, takes full ownership of outcomes, and is comfortable engaging directly with enterprise customers and regulators to resolve complex identity and compliance scenarios.

 We work Flexible First. This role can be performed remotely in the United States, only in one of our National locations, which you can review here.

The Impact You’ll Have

• Own the end-to-end identity verification lifecycle, from one-time CIP checks at account opening through ongoing CDD and continuous customer risk monitoring, ensuring accuracy, timeliness, and regulatory compliance at every stage.
• Build and operate systems that enforce KYC obligations across the full framework: identity verification (CIP), risk-based due diligence (CDD), and event-driven re-verification as customer risk profiles evolve.
• Drive AI-first automation, reducing manual review rates and increasing efficiency across KYC/KYB decisioning, sanction screening, and Red Flag rule evaluation.
• Lead and mentor a high-performing engineering team, improving velocity and system reliability through intelligent workflows and automation.
• Act as the technical and business-facing leader in customer and regulatory escalations, translating complex compliance scenarios into scalable platform improvements.
• Partner cross-functionally with Risk, Compliance, Product, Operations, and Legal to shape the platform roadmap and identity verification strategy.

What Success looks like

• The engineering team is engaged, growing, and operating at high velocity — engineers feel ownership, have clear career paths, and are proud of what they ship.
• KYC/KYB onboarding decisions consistently meet compliance requirements and customer-facing SLAs, with a reliable, auditable platform that earns trust from customers and regulators alike.
• Manual identity review rates are materially reduced through AI-driven decisioning workflows, freeing the team to focus on higher-leverage problems.
• The Identity platform is architected to be extensible — enabling Marqeta to expand into new markets with different regulatory frameworks (e.g., new jurisdictions, AML regimes, or licensing requirements) without requiring a platform rebuild.
• Customers and regulators view Marqeta as trusted, expert partners in identity and compliance.

Who You Are

• Experienced engineering leader (8–10+ years in engineering, 3+ years managing senior and staff engineers).
• Deep backend engineering expertise, you have a strong foundation in building and scaling backend systems, and you can credibly engage with your engineers on architecture, performance, and design trade-offs.
• Breadth across the stack, you've led teams delivering across multiple product lines and paradigms: from synchronous API services (Java/Spring Boot) to batch and event-driven ETL pipelines (Python/Airflow), and you know how to apply the right tool for each problem.
• Operational excellence and incident management, you hold a high bar for system reliability and on-call hygiene, drive blameless post-mortems, and ensure your team can detect, respond to, and learn from incidents quickly.
• Hands-on AI-first mindset: you embrace AI/ML to improve team velocity, drive automation, and reduce manual review rates.
• Strong ownership mentality, you thrive in ambiguity and take full responsibility for outcomes.
• Comfortable engaging directly with enterprise customers and compliance officers, translating technical decisions into clear narratives for non-technical stakeholders.
• Excellent communicator who can lead cross-functional initiatives and influence stakeholders at all levels.

Nice-To-Haves

• Deep understanding of identity verification, AML/BSA compliance, and regulatory obligations in the financial services or fintech space.
• Experience integrating with identity verification vendors (e.g., Trulioo, LexisNexis, Socure, Alloy) or sanctions screening providers.
• Background in fintech issuing platforms, core banking, or payments operations.
• Prior ownership of KYC/KYB automation initiatives that materially reduced manual review rates or compliance risk.
• Familiarity with AML/BSA regulatory obligations, OFAC screening, FinCEN CIP rules, or Red Flag program requirements.

Your Manager

• Ashok Agrawal, Senior Director, Software Engineering

Recruiter For This Role

• Prashant, Senior Technical Recruiter

Typical Process

• Application Submission
• Recruiter phone call
• Hiring manager video call
• Virtual “Onsite” consisting of 4-5, 45 min calls
• Offer!

Compensation and Benefits

Marqeta is a Flex First company which allows you to choose your best working environment, whether that be from home or at a company office. To support Flex First, we calibrate pay to a competitive value according to working location but this role is only open to National locations and the compensation is aligned according to the National tier within the United States:

• National: A baseline tier that applies to most of the geographic territory of the United States.

Visit this page or consult with a Recruiter to determine which tier would be applicable to you.

When determining salaries, we consider several factors including, but not limited to, skills, prior experience, and work location. The new-hire base salary range for this position is:

• National: 174,700 USD - 218,400 USD

We also believe in recognizing the contributions of our people. That's why we award annual bonuses to eligible employees, rewarding both individual performance and the success of the entire company.

Along with monetary compensation, Marqeta offers

• Multiple health insurance options
• Flexible time off – take what you need
• Retirement savings program with company contribution and after tax contributions
• Equity in a publicly-traded company and an Employee Stock Purchase Program
• Family-forming benefits, fertility support, and up to 20 weeks of Parental Leave
• Free therapy sessions, financial and professional coaching, and legal advice
• Monthly stipend to support our remote work model
• Annual “development dollars” to support our people growth and development
• Through Flex First, the freedom to live and work wherever you and your family thrive

We are looking for a Senior Data Scientist to join our marketing org. As a Senior Data Scientist you introduce greater scientific rigor into the marketing measurement and optimization processes to shape Pinterest’s user growth and marketing strategy. The results of your work will influence and drive strategic decisions for the company - identify investment opportunities for growth, understand user growth and behavior, and define metrics to grow and sustain our user base. You will collaborate on a wide array of business problems with a diverse set of cross-functional partners across Marketing, Product, Engineering, Design, Research, Product Analytics, Data Engineering and others. 

The role is within the Growth Marketing team, and would be supporting performance marketing efforts focused on driving user growth for Pinterest.

What you’ll do:

• Deep strategic analysis to answer growth marketing ecosystem questions such as how to drive monthly active users from paid performance marketing, how to quantify the effect of paid performance marketing in new markets, how to drive user engagement and user LTV (lifetime value) from performance marketing.
• Evolve our existing systems like geo-testing frameworks and other incrementality testing frameworks.
• Build and deploy statistical and machine learning models such as propensity, forecasting, and lifetime value (LTV) models—to optimize marketing strategies and enhance audience targeting.
• Develop new statistical models as well as maintain/improve existing models like user lifetime value models, budgeting models, long term user retention models etc.
• Collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Engineering, Analytics, Marketing, Data Engineering and others.

Evolve our experimentation capabilities and tools to evaluate the business impact of performance marketing investment. Advise on experimentation best practices; identifying flaws in experiment practices and results; building tools for experiment analysis; etc. Identify the right measures of success for teams and help them track those metrics. Own the full lifecycle of those metrics from logging requirements, metrics definition, prototype pipelines, and improvements. 

• Translate complex analytical findings into clear, actionable insights and strategic recommendations for both technical and non-technical stakeholders, including senior leadership.
• Write clear, actionable analyses that help teams uncover opportunities and identify areas of improvement to our existing strategies. 
• Design, maintain, and promote dashboards and automated reporting tools to empower stakeholders with self-serve, data-driven decision-making capabilities. Build and optimize ETL data pipelines to automate reporting, support deep dive analysis and feature engineering for analytical models.

What we’re looking for:

• 5+ years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problems.
• Masters degree in a quantitative field such as mathematics, statistics, computer science or engineering.
• Hands-on experiences with building marketing measurement solutions to quantify the business impact of marketing tactics and investments. 
• Strong background in statistics and quantitative analysis, with experience in applying advanced statistical techniques to real-world problems.
• Expertise in at least one scripting language (ideally Python/R).
• Proficiency in SQL/Hive. Ability to write efficient SQL queries.
• Strong business and product sense. Strong skills in shaping vague questions into well-defined analyses and success metrics that drive business decisions.
• Excellent communication skills, able to lead initiatives and communicate findings to the leadership and cross-functional teams. Explains work and thought processes clearly and concisely.
• Experience leading key technical projects.
• Strong Experimentation background.
• Statistical rigor. Experience with causal inference projects.

Relocation Statement:

• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

In-Office Requirement Statement:

• We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
• This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.

#LI-NM4
#LI-REMOTE

Pinterest is looking for a Performance Solutions Partner II. This role is responsible for enabling our largest retail advertisers and sellers to drive success on the Pinterest platform, through the adoption of priority products and the development of new / innovative best practices. The Performance Solutions Partner II will closely partner with cross-functional leadership in sales, product, and engineering. This is a multi-faceted, fast-paced job in a start-up environment so flexibility, a data-driven mindset, a strong work ethic, and a good sense of humor are a must. The right candidate will be a strategic thought leader who is driven by learning and solving ambiguous problems, yet be able to be hands on to troubleshoot technical issues that is a revenue blocker to lower funnel revenue. 

The Performance Solutions team sits within the Go To Market Operations & Solutions organization. Performance Solutions delivers through strategic guidance, operational excellence and technical expertise to improve the effectiveness of advertising campaigns resulting in increased client ROI. We work to understand, innovate, and scale cross-functional workflows. We are responsible for measuring process and program impact, making our business more efficient with consistent execution while embarking on building the next generation of data-driven best practices.

What you’ll do:

• Become an expert at Pinterest campaign best practices, enabling yourself to be your regions go to resource for performance related opportunities.
• Be the primary day-to-day strategic technical contact for sales and clients to help activate performance campaigns. Provide prompt, professional consultative support and service to ensure a high level of customer satisfaction that drives product adoption and revenue expansion.
• Understand complex processes and products, distilling them down into a digestible format for a less technical audience.
• Partner with sellers to pitch strategies for adopting new performance products and campaign best practices at scale.
• Provide strategic thought leadership to top tier clients within your region (USA & Canada).
• Identify key issues facing our clients and advertisers, and develop proposed solutions on how Pinterest should solve them through automated processes, product improvement,  and / or people support.
• Work with your region to adapt best practices to fit the market you are supporting, and serve as the glue that connects the feedback between internal and external stakeholders.

What we’re looking for:

• Minimum of 3 years of relevant client facing and hands-on experience in digital advertising with responsibilities in ad tech, ad ops, and/or campaign management.
• Bachelor’s degree in a relevant field such as Business or Marketing, or equivalent experience.
• Experience with tagging and tracking QA and support, and working with HTML, CSS, or JavaScript.
• Expertise in digital advertising and media sales including campaign optimization, analytical problem solving, sales facing experience, technical troubleshooting, and product/platform knowledge.
• A structured and detail-oriented thinker. You’re as comfortable solving conceptual problems and creating frameworks to refine a team’s thinking as you are getting into the weeds to understand how things work.
• Strong communication skills. You can move seamlessly between conversing with engineers or frontline sales employees and lead presentations with senior leads.
• An individual that thrives in a fast-moving environment and is independently capable of seeking information, corralling resources, and delivering results without waiting for direction.
• Technical foundation with relevant experience in Search/Shopping/Display/Social advertising technologies.
• Working knowledge of API implementation and benefits (ex. Conversion API).
• Expert knowledge of web analytics and e-commerce strategies to drive retail business (but not excluding other priority verticals as defined by the market).
• Work based experience using new AI tools to make existing processes more efficient for yourself and at scale for the wider organization.

Relocation Statement:

•  This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

In-Office Requirement Statement:

• We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role. Roles in our People team will meet for in-person collaboration and connection throughout the year. 
• Therefore eligible candidates will need to be in a commutable distance from an office or People Team hub in the following locations (San Francisco Bay Area, Santa Cruz, CA, San Diego, CA, Los Angeles, CA, Chicago, IL, New York, NY (includes New Jersey & Connecticut tri-state area) Seattle, WA, Washington DC, Atlanta, GA, Dallas-Fort Worth, TX, Houston, TX Denver, CO, Charlotte, NC, Portland, OR,  Miami / Fort Lauderdale, FL).

#LI-REMOTE

#LI-AAR

About tvScientific

tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform. Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business.

As a Sr. Machine Learning Engineer at tvScientific, you'll build the ML and AI systems behind our Connected TV ad-buying platform: real-time bidding, campaign optimization, and incrementality measurement at scale. We're an adtech company solving a hard problem: making CTV advertising actually measurable. Our platform helps advertisers buy ads across the CTV ecosystem: Hulu, Pluto TV, Disney+, HBO Max, and hundreds of FAST channels: and prove that those ads drove real business outcomes.

What you'll do:

• Write production Python that powers real-time bidding, model training, and campaign optimization
• Train, deploy, and monitor ML models that decide which ads to show, when, and at what price: millions of bid decisions per second
• Build and improve our incrementality measurement systems: helping advertisers understand the true causal lift of their CTV spend
• Design and implement new ML products across the ad-buying lifecycle: audience targeting, bid optimization, pacing, and attribution
• Use LLMs and generative AI to build internal tools that accelerate how we develop, test, and ship ML systems
• Serve as a technical lead and mentor on a distributed engineering team

What we're looking for:

• Strong production Python skills: you write code that runs in prod, not just notebooks
• Solid statistics and ML fundamentals: you can reason about experiment design, model evaluation, and when simpler approaches beat complex ones
• Familiarity with modern AI tools and good judgment about where they add value
• Adtech or CTV experience: familiarity with RTB, programmatic advertising, supply-path optimization
• Clear written communication: we're a distributed team and writing is how decisions get made
• Comfort with ambiguity: you'll own problems end-to-end in a fast-moving environment, from scoping to shipping
• Bachelor's degree in Computer Science, Mathematics, Engineering, related field, or equivalent experience
• 4+ years of industry experience
• Nice-to-Haves:
  
  • Experience using Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring
  • Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration
  • Causal inference: uplift modeling, synthetic controls, difference-in-differences, or incrementality testing
  • Big data experience with Scala and Spark
  • Systems programming experience in Zig or similar (C, C++, Rust)
  • Reinforcement learning or bandit algorithms in production
  • Experience building agentic AI systems or LLM-powered workflows
  • MLOps experience: model deployment, monitoring, and pipeline orchestration on AWS

In-Office Requirement Statement:

• We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.

Relocation Statement:

• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

#LI-SM4

#LI-REMOTE

About the role:

We're looking for a Security Engineer to join our Cloud Security Engineering team. In this role, you'll help strengthen the security of our platform by building and improving the controls that protect our infrastructure. You'll play a key role in making security a core part of how we build, deploy, and scale our systems, while helping the company grow securely and confidently.

You'll report to the Security Operations Manager, and this is a hybrid or fully remote within the United States. If you're based within commuting distance of our SF or NY offices, the role includes in-office anchor days on Monday, Tuesday, and Friday.

What you will do:

• Design and implement scalable security controls across our cloud-native platform.
• Harden infrastructure components using infrastructure-as-code, policy enforcement, and service isolation.
• Build secure by default infrastructure and code CI/CD pipelines.
• Collaborate with platform and infrastructure teams to integrate security best practices into architecture and workflows.
• Stay ahead of cloud security trends and adopt cutting-edge technologies to enhance platform resilience.
• Conduct threat modeling, risk analysis, and mitigation planning for critical systems.
• Drive improvements in monitoring, detection, and incident response at the platform level.
• Build, deploy and maintain relevant tooling.

About you:

• 8+ years of experience in infrastructure or platform security roles.
• Deep understanding of secure cloud infrastructure (AWS/GCP), identity and access management, and system hardening.
• Proficient with tools like Terraform, CDK, Kubernetes, and CI/CD security.
• Skilled at balancing engineering realities with principled security practices.
• Proven track record of shipping secure, resilient systems at scale.

Bonus if you:

• Have built or scaled security automation pipelines.
• Contributed to open-source security projects or tools.
• Hold certifications such as GCP Security Engineer, AWS certifications, CISSP, or OSCP.
• Hold a bachelors or masters degree in Cybersecurity or similar disciplines.

Benefits:

• Competitive compensation package, including equity.
• Inclusive Healthcare Package.
• Learn and Grow - we provide mentorship and send you to events that help you build your network and skills.
• Flexible Time Off.
• We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed.

The San Francisco, CA base pay range for this role is $208,000.00 - $312,000.00. This salary range is an estimate. Actual salary will be based on job related skills, experience and location. Pay ranges outside San Francisco may be adjusted based on employee location. The total compensation package also includes benefits and equity-based compensation. Your recruiter can share more about the specific pay range for your location during the hiring process.

About the Role:

We are looking for a Product Security Engineer to join our security team to drive critical product security initiatives across Vercel’s products and platform. Your core focus will be on threat modeling, open-source software security, secure code review, SDLC tooling, and bug bounty program management. You will support both our internal product engineering teams and customer-facing security programs, ensuring that security is embedded throughout our development lifecycle and that our platform earns the trust of developers and end-users alike.

As a senior member of the team, you will lead cross-organizational security projects and champion a security-first culture within Vercel’s engineering organization. This is a high-impact role with broad scope – your work will not only secure Vercel’s core infrastructure and products (built with Next.js, Node.js, and serverless architecture), but also influence the security of the open-source ecosystems we contribute to.

If you’re based within a pre-determined commuting distance of one of our offices (SF, NY, London, or Berlin), the role includes in-office anchor days on Monday, Tuesday, and Friday. If you're located beyond that distance, the role is fully remote. For location-specific details, please connect with our recruiting team.

What You Will Do:

• Threat Modeling & Design Review: Partner with engineering and product teams to perform threat modeling for new and existing features. Identify potential risks early in the design phase and recommend security controls or design changes to mitigate threats. You will ensure security concerns are addressed from the inception of features through deployment.
• Secure Code Review: Conduct secure code reviews and security assessments on products and services built with Next.js, Node.js, and our serverless backend. You’ll uncover code-level vulnerabilities, provide actionable remediation guidance to developers, and establish best practices for secure coding across the engineering team.
• Open Source Security Management: Oversee Vercel’s open-source security efforts. This includes monitoring and coordinating fixes for vulnerabilities in third-party open-source packages we use (as a consumer) and ensuring the security of the open-source projects we maintain and publish (as a contributor/publisher, e.g. Next.js). You will work with maintainers and the community on responsible disclosure and patching of security issues in open-source code.
• SDLC Tooling & Automation: Evaluate, select, and integrate security tools into our Software Development Life Cycle. You will drive the implementation of automated security checks – for example, using GitHub Advanced Security (GHAS) and other static analysis, dependency scanning, and secret detection tools – directly in our CI/CD pipelines and GitHub workflows. By embedding security tooling into developer workflows, you will help catch issues early and reduce manual effort.
• Bug Bounty Program Management: Own and expand Vercel’s bug bounty program. You will triage and validate incoming vulnerability reports from the security researcher community, ensure critical issues are promptly addressed, and coordinate cross-team efforts to remediate and learn from reported vulnerabilities. You’ll also work on making our bug bounty a world-class, researcher-friendly program, including refining policies, scope, and engagement to encourage high-quality submissions.
• Cross-Organizational Security Initiatives: Lead and contribute to security projects that span multiple teams and disciplines. For example, you might drive a company-wide upgrade to a more secure framework, implement a new authentication/authorization mechanism in collaboration with product teams, or roll out a security awareness program for engineers. You will act as a security champion across the org, aligning stakeholders from Engineering, DevOps, Product, and other groups to implement lasting security improvements.
• Customer-Facing Security Support: Work closely with customer success and product marketing on security-related initiatives that impact our users. This may involve contributing to security documentation and whitepapers, assisting with customer security questionnaires or audits by providing product security expertise, and communicating our security features and best practices to build customer trust in the platform.

About You:

• Experienced Security Engineer: You have 5+ years of experience in an Product Security or Product Security role (or related field), with a track record of securing web products and services. You’re well-versed in the fundamentals of product security and have hands-on experience finding and fixing vulnerabilities.
• Web Tech Stack Proficiency: Strong familiarity with JavaScript/TypeScript and Node.js runtime security. Experience with modern web frameworks (ideally Next.js or React and Node-based frameworks) and understanding of their security considerations. You can read and review code in these technologies to spot security flaws.
• Threat Modeling & SDLC Expertise: Demonstrated ability to perform threat modeling and architectural risk analysis for complex product. You understand how to integrate security into a fast-paced SDLC without slowing it down. Experience implementing or working with secure development lifecycle practices (secure design, code review, pentesting, etc.) is required.
• Security Tools & Automation: Hands-on experience with product security tooling such as static product security testing (SAST), dynamic testing (DAST), dependency vulnerability scanners, and CI/CD pipeline security integration. Familiarity with GitHub Advanced Security or similar tools for code scanning and secret detection is a strong plus.
• Open Source and Supply Chain Security: Knowledge of open-source security best practices. You have experience dealing with open-source dependencies and package management security (e.g., handling vulnerability advisories, using tools like Dependabot or Snyk). Bonus if you have contributed to or maintained open-source projects, especially security-related ones.
• Bug Bounty & Vulnerability Management: Exposure to running or participating in a bug bounty program or vulnerability disclosure process. You know how to assess externally reported issues, reproduce and validate vulnerabilities, and coordinate fixes. You stay up-to-date on the latest vulnerabilities (OWASP Top 10, emerging threats) and methods to mitigate them.
• Cloud & Serverless Security Understanding: Solid understanding of cloud architecture and serverless environments from a security perspective. You are familiar with securing products on cloud platforms (e.g., securing serverless functions, protecting APIs, managing secrets and keys). Experience with related cloud security concepts or tools is a plus.
• Technical Leadership: Proven ability to drive security initiatives and influence engineering teams to adopt best practices. You can work cross-functionally to achieve security goals – for example, rolling out a new security tool or standard across many engineers. (While we emphasize technical skills, this senior role requires you to effectively communicate and lead within the organization to get things done.)

Bonus If You:

• Have prior software development experience beyond security (e.g. as a frontend or backend engineer). Being able to empathize with developers and write or contribute code will help you integrate security seamlessly into development.
• Hold relevant security certifications or recognitions (for example, OSCP, OSWE, CISSP, or notable bug bounty hall of fame entries). These demonstrate your depth of knowledge, though they are not required.
• Experience with security policy-as-code or infrastructure as code security (for instance, using tools like Open Policy Agent, Terraform security checks, etc.). This shows you can bring security into the automation and infrastructure realm.
• Have built or implemented security features in a product (such as authentication systems, encryption, secure CI/CD pipelines) or contributed to security community projects/tools.
• Are an active participant in the security community (e.g., contributing to open source security projects, writing blog posts or research, attending or speaking at security conferences). A passion for continuous learning and sharing knowledge is always a plus on our team.

Benefits:

• Competitive compensation package, including equity.
• Inclusive Healthcare Package.
• Learn and Grow - we provide mentorship and send you to events that help you build your network and skills.
• Flexible Time Off.
• We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed.

The San Francisco, CA base pay range for this role is $208,000.00 - $312,000.00. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. 

Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

We are looking for a Staff Data Scientist for our Ads Delivery. You will shape the future of people-facing and business-facing products we build at Pinterest. Your expertise in quantitative modeling, experimentation and algorithms will be utilized to solve some of the most complex engineering challenges at the company. You will collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Engineering, Design, Research, Product Analytics, Data Engineering and others. The results of your work will influence and uplevel our product development teams while introducing greater scientific rigor into the real world products serving hundreds of millions of pinners, creators, advertisers and merchants around the world.

What you’ll do:

• Develop a deep, nuanced understanding of the Pinterest ads delivery, quantifying full funnel opportunities and risks.
• Lead projects on:
• Pinner LTV
• Tradeoff between ads and organic engagement
• Ads Delivery opportunities across different funnel stages
• Design and productionize robust, scalable ML and evaluation frameworks—spanning forecasting, recommendation, and causal inference.
• Advocate for best-in-class experimentation, instrumentation, and metric design; bridge the gap between short-term proxy metrics and long-term business impact.
• Collaborate across disciplines—Product, Engineering, Research, Business, and Design—translating complex data questions into actionable business insights.
• Mentor and guide junior and senior scientists, fostering intellectual curiosity and driving technical excellence.

What we’re looking for:

• 10+ years of hands-on experience in web-scale data environments, with a track record of solving hard, ambiguous problems in product, engagement, or ecosystem analytics.
• Bachelor’s/Master’s degree in a relevant field such as Computer Science, or equivalent experience.
• Deep expertise in: Machine Learning (recommendation, ranking, prediction, experimentation), Statistical Modeling & Causal Inference (observational and experimental data), Product analytics/strategy (beyond dashboards: root cause, goaling, design collaboration), Programming in Python/R and advanced SQL/Spark.
• Strong product intuition—ability to scope, question, and design the right solutions for ill-defined, high-impact business problems.
• Scientific rigor and healthy skepticism: You challenge assumptions, find flaws, and drive towards robust, reproducible outcomes.
• Exceptional communication: You make the complex simple, and can influence both technical and non-technical audiences.
• Track record mentoring and growing data talent at the staff/senior IC level.
• Cross-functional leadership and the ability to align competing interests towards shared goals.

Relocation Statement:

• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

In-Office Requirement Statement:

• We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
• This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.

#LI-NM4 

#LI-REMOTE

As Marqeta’s Credit Risk Senior Manager, you will lead our credit risk and pricing strategy, helping us launch and scale credit programs from the ground up. You will drive innovation to establish best in class credit strategies in partnership with internal stakeholders and external bank partners and customers. You will create something unique in the embedded credit space: a marketplace that enables fintech apps, wallets, and merchants to offer credit products at scale.

Embedded within finance, this role will support Marqeta’s evolving managed credit card programs by shaping credit risk strategy across acquisition and account management, pricing, performance and portfolio monitoring, in partnership with cross functional execution teams across product, engineering, sales, operations and other functional areas.

We work Flexible First. This role can be performed remotely in the United States, only in one of our Premium or National locations, which you can review here.

The Impact You’ll Have

Credit Strategy & Policy

• Own end-to-end credit strategy initiatives — from framework design through implementation and ongoing monitoring
• Build, review, and refine consumer and commercial credit card risk and pricing strategies
• Proactively adjust credit card policies based on portfolio performance and risk trends
• Establish strategies that directly drive KPIs: approval rates, new accounts, loss rates, profit margin, and more

Modeling & Data

• Partner with data scientists to build best-in-class credit risk and cash flow models
• Work with product to develop modern credit stacks and data strategies leveraging financial, bank, and third-party datasets — enabling underwriting automation at scale

Capital Markets & Partners

• Partner with capital markets on securitization structures, warehouse lines, and forward flow deals
• Provide analytical support to co-brand partners, including loss forecasts and profitability analysis

Governance & Reporting

• Draft underwriting and risk documentation
• Support bank partners on model validation and governance
• Report KPIs and risk performance to senior management regularly

Advisory & Cross-Functional Leadership

• Serve as a risk consultant to bank partners and customers — recommending improvements to credit strategies
• Collaborate across Banking, Product, Finance, and Capital Markets as an internal strategic resource and external-facing advisor

Who you are

Experience & Background

• 8+ years building credit card risk and pricing programs, ideally at a fintech — across consumer and/or commercial underwriting
• Proven ownership across the full credit card lifecycle:
• Credit policy and risk strategy development, monitoring, and adjustment
• Approval, line assignment, and pricing strategy design
• Risk assessments for prospective partners
• Acquisition strategy across card programs
• Bachelor's degree in Finance, Business, Accounting, Economics, Statistics, Math, or a related field

Technical Skills

• Expert in Excel and SQL modeling
• Comfortable using data to build alignment across stakeholders with competing priorities

Collaboration & Communication

• Experience working cross-functionally with product, engineering, finance, compliance, bank partners, and capital providers
• Exceptional communicator — able to translate complex credit concepts for executive, partner, and cross-functional audiences (written and verbal)

Mindset & Adaptability

• Comfortable in a build environment — moves fluidly between strategy and execution without a large supporting team
• Thrives in fast-paced, dynamic settings with shifting priorities
• Demonstrated ability to adapt credit strategies in response to portfolio performance changes or macroeconomic conditions

Your Manager

Neha Nanda, Senior Director, Credit Risk

Our (typical) process:

1. Application Submission
2. Recruiter video call
3. Hiring manager video call
4. Virtual “Onsite” consisting of 4-5, 45 min calls
5. Offer!

Compensation and Benefits

Marqeta is a Flex First company which allows you to choose your best working environment, whether that be from home or at a company office. To support Flex First, we calibrate pay to a competitive value according to working location. Compensation is aligned according to three tiers within the United States:

• National: A baseline tier that applies to most of the geographic territory of the United States.
• Premium: Slightly elevated from the National tier, and oriented toward a narrower set of higher cost-of-living areas, such as Los Angeles CA and Seattle WA
• Premium Plus: A tier for the most expensive working areas, like the San Francisco Bay area and New York City.

Visit this page or consult with a Recruiter to determine which tier would be applicable to you.

When determining salaries, we consider several factors including, but not limited to, skills, prior experience, and work location. The new-hire base salary range for this position is:

• Premium+: $180,600- $225,800
• Premium: $166,200 - $207,700
• National: $153,500 - $191,900

We also believe in recognizing the contributions of our people. That's why we award annual bonuses to eligible employees, rewarding both individual performance and the success of the entire company.

Along with monetary compensation, Marqeta offers

• Multiple health insurance options
• Flexible time off – take what you need
• Retirement savings program with company contribution and after tax contributions
• Equity in a publicly-traded company and an Employee Stock Purchase Program
• Family-forming benefits, fertility support, and up to 20 weeks of Parental Leave
• Free therapy sessions, financial and professional coaching, and legal advice
• Monthly stipend to support our remote work model
• Annual “development dollars” to support our people growth and development
• Through Flex First, the freedom to live and work wherever you and your family thrive

About the Role:

We're looking for a Security Software Engineer to join our Security team and own Vercel's Identity and Access Management strategy - across both corporate and production environments. This is a high-impact, ownership-heavy role: you'll define IAM architecture from the ground up, migrate Okta fully behind Terraform, and serve as the subject matter expert who levels up the entire organization on IAM best practices.

You will report to the Head of Security and be located remotely within the United States. If you're based within commuting distance of our SF or NY offices, the role includes in-office anchor days on Monday, Tuesday, and Friday.

What You Will Do:

• Own the full IAM strategy for both corporate and production environments - defining the roadmap, standards, and architecture end to end
• Migrate Okta and all related IAM configuration to Terraform, driving infrastructure-as-code adoption and leveling up engineering teams in its use
• Lead Vercel-on-Vercel and Vercel infrastructure cleanup initiatives, ensuring our internal systems reflect the same standards we sell to customers
• Design and enforce least-privilege access controls across cloud, SaaS, and production infrastructure
• Partner with platform and engineering teams to embed IAM best practices early in the design process
• Build and manage MDM/MAM tooling to secure endpoint and mobile device access across the organization
• Drive automation across provisioning, deprovisioning, and access review workflows
• Serve as the IAM subject matter expert across Security, IT, and Engineering

About You:

• 7+ years of experience in identity, access management, or platform security engineering
• Deep expertise with Okta - including SSO, MFA, lifecycle management, and API-driven automation
• Proficient in Terraform and committed to managing IAM infrastructure as code
• Experience designing IAM strategy at scale - across both corporate (IT/SaaS) and production (cloud infrastructure) environments
• Hands-on experience with AWS or GCP IAM - service accounts, roles, workload identity federation
• Background in MDM/MAM solutions (Jamf, Intune, or equivalent)
• Strong collaborator who can drive alignment across Engineering, IT, Compliance, and Security teams
• Comfortable operating with autonomy and owning decisions in a fast-moving environment

Bonus If You:

• Experience leading Terraform migrations for IAM or identity infrastructure at scale
• Background in SCIM, SAML, OIDC, and directory services (e.g., Google Workspace, Azure AD)
• Contributions to internal developer platforms or security tooling
• Experience at a developer tools, infrastructure, or SaaS company
• Certifications such as Okta Certified Professional/Administrator, AWS Security Specialty, or CISSP

Benefits:

• Competitive compensation package, including equity.
• Inclusive Healthcare Package.
• Learn and Grow - we provide mentorship and send you to events that help you build your network and skills.
• Flexible Time Off.
• We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed.

The San Francisco, CA base pay range for this role is $208,000 - $312,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. 

Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

The Trends & Insights Engineering team builds the products that turn Pinterest's unique signal what hundreds of millions of people are planning, dreaming about, and shopping for into actionable intelligence for advertisers. As a Staff Software Engineer on this team, you'll lead the technical evolution of Pinterest Trends and Audience Insights into a unified, AI-powered insights platform that shapes how advertisers plan campaigns, allocate budget, and create content across the Pinterest Ads ecosystem..

What you’ll do: 

• Set the technical direction for a unified, audience-first insights platform that powers Pinterest Trends, Audience Insights, and recommendations embedded across Ads Manager surfaces.
• Architect scalable data pipelines and systems that generate reusable, personalized insights from Pinterest's trend, audience, and content signals.
• Lead delivery of high-impact roadmap bets such as Trends Digest, Moments, Topics expansion, and Product Attributes from prototype to production.
• Build LLM-powered capabilities (summarization, classification, conversational insights, agentic review) with strong safety, quality, and evaluation guardrails.
• Partner with Product, Design, Data Science, and Ads org teams to bring proactive, contextual insights into advertiser workflows beyond standalone surfaces.
• Use AI to accelerate prototyping, design exploration, and code generation iterating across more options earlier while applying engineering judgment and verification to ensure correctness and quality.
• Use AI to synthesize research, summarize large datasets, and automate repeatable engineering tasks like documentation, test generation, and data QA checks.
• Mentor engineers across the team, raise the technical bar, and establish measurement practices that connect insight quality to advertiser adoption and revenue impact.

What we’re looking for:

• Bachelor's degree in Computer Science, a related field, or equivalent experience.
• 8+ years of software engineering experience, including significant time designing large-scale data or ML-powered platforms that serve customer-facing products.
• Ability to work with cross-functional partners across multiple organizations.
• Hands-on experience building tools and data pipelines leveraging AI coding tools, e.g. Cursor, Claude Code, Codex, etc.
• Experience as the product-engineering counterpart on an AI-first product launch from prototype to scale
• Demonstrated experience using AI to accelerate engineering and analysis workflows, with a clear approach to validating accuracy, performance, and quality.
• Strong track record of critical evaluation and verification of AI-assisted work — testing, source-checking, data validation, and peer review.
• Experience leading cross-surface product integrations across multiple teams and organizational boundaries, not just standalone tools.

Relocation Statement:

• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

In-Office Requirement Statement: 

• We understand that optimal work environments are highly situational and vary between departments. Day-to-day expectations shift based on specific organizational needs or the nature of the role.
• In-person collaboration is required once every quarter; candidates must reside within commuting distance of our San Francisco or Palo Alto hubs.

#LI-REMOTE
#LI-AK7

What you’ll do:

• Be the technical lead for the forecasting team. Own the strategy and implementation of forecasting models of key company metrics (e.g., monthly active users), delivering accurate, interpretable forecasts at scale.
• Lead the full modeling lifecycle end to end: problem framing, feature engineering, model development and prototyping, experimentation and backtesting, deployment, monitoring/drift detection, and explainability.
• Set the forecasting technical vision. Define model architectures and standards, and partner with Engineering to shape the forecasting platform for efficient training/inference today and the scalability needed for the next generation of models.
• Translate forecasts into decisions. Present outputs, scenario analyses, and recommendation frameworks to senior leadership with clarity and brevity. This is a high‑visibility role with regular VP-level exposure.
• Drive broader time‑series impact beyond point forecasts—e.g., anomaly detection, automated root‑cause analysis, campaign/channel attribution, and early‑warning signals for business health.
• Embed forecasting into the business. Partner with BizOps/Finance and product teams to integrate forecasts and insights into operational rhythms,  executive decision-making, and strategic planning.
• Lead and mentor. Guide the work of at least two data scientists, raising the bar on technical quality, execution, and impact through candid, continuous feedback and coaching.

What we’re looking for:

• 8+ years of combined post-graduate academic and industry experience building and shipping production time‑series/forecasting models with web‑scale data. 
• A track record of delivering adjustable, well‑calibrated, and explainable forecasting systems that informing decision-making.
• Strong background in time‑series modeling and applied statistics/econometrics; advanced degree (MS or PhD) preferred.
• Expertise in at least one scripting language (ideally Python).
• Strong SQL skills (Hive/Presto/Spark SQL) and experience building reliable data pipelines/workflows (e.g., Airflow).
• Business acumen and ownership mindset—able to simplify complex problems, connect model outputs to business levers, and prioritize for impact.
• Excellent communication skills—able to distill complex analyses and uncertainty into concise narratives for executive audiences.
• Proven technical leadership—success leading critical projects and materially influencing the scope and output of other contributors.

Relocation Statement:

• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

In-Office Requirement Statement:

• We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
• This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.

#LI-NM4

#LI-REMOTE

Intro: The Trends & Insights Engineering team builds the products that turn Pinterest's unique signal what hundreds of millions of people are planning, dreaming about, and shopping for into actionable intelligence for advertisers. As a Staff Software Engineer on this team, you'll lead the technical evolution of Pinterest Trends and Audience Insights into a unified, AI-powered insights platform that shapes how advertisers plan campaigns, allocate budget, and create content across the Pinterest Ads ecosystem..

What you’ll do: 

• Lead and grow a team of engineers building Pinterest Trends, Audience Insights, and the next generation of AI-powered advertiser insights products.
• Translate the team's vision into a cohesive roadmap and delivery plan, sequencing key 2026 bets such as Trends Digest, Moments, Topics expansion, Product Attributes, and the audience-first platform foundation.
• Drive measurable advertiser impact by establishing a North Star tied to adoption, insight quality, and incremental ad spend and by standing up the instrumentation needed to prove it.
• Partner closely with Product, Design, Data Science, and peer Ads org teams to embed insights and recommendations into Ads Manager, seller workflows, and other advertiser journeys.
• Set the technical bar for LLM-powered capabilities (summarization, classification, conversational insights, agentic review) with strong safety, quality, and evaluation guardrails.
• Hire, mentor, and retain senior and staff engineering talent, and build team operating rhythms (planning, reviews, on-call, quality bars) that scale with the charter.
• Use AI to accelerate planning, technical exploration, and decision-making across the team drafting strategy docs, comparing architectural approaches, and synthesizing research faster while applying judgment and verification to ensure correctness and quality.
• Use AI to automate repeatable management tasks like status reporting, document synthesis, and review workflows, freeing the team to focus on higher-leverage work.

What we’re looking for:

• Bachelor's degree in Computer Science, a related field, or equivalent experience.
• 8+ years of software engineering experience, including 3+ years managing teams of 5+ engineers.
• Experience leading engineering teams that build and ship consumer-facing products.
• Experience managing engineers across multiple levels and helping teams improve in effectiveness, quality, and impact.
• Strong people leadership skills, including coaching, feedback, performance management, and team development.
• Strong product sense and strategic thinking, with the ability to translate broad goals into clear priorities and execution plans.
• Solid technical foundation and the ability to engage in architecture, design reviews, and technical trade-offs.
• Proven ability to lead through ambiguity, align cross-functional stakeholders, and deliver meaningful results.
• Expertise in using data and experimentation to inform product and engineering decisions.
• Demonstrated ability to use AI to improve speed and quality in day-to-day work for relevant outputs.
• Strong track record of critically evaluating and verifying AI-assisted work through testing, review, or other quality controls.

Relocation Statement:

• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

In-Office Requirement Statement: 

• We understand that optimal work environments are highly situational and vary between departments. Day-to-day expectations shift based on specific organizational needs or the nature of the role.
• In-person collaboration is required once every quarter; candidates must reside within commuting distance of our San Francisco or Palo Alto hubs.

#LI-REMOTE

#LI-AK7

Reporting to the Sr. Director, Compensation, the Compensation Lead is a strategic partner to Pinterest's Engineering and Product organizations — and a key player in how we attract, reward, and retain world-class talent. 

In this role, you'll build consultative, trusted relationships with HR Business Partners, Talent Acquisition, and business leaders, proactively advising on complex compensation matters across the entire employee lifecycle. You'll bring data to life — combining deep analytics, market insights, and internal talent data to ensure Pinterest's compensation practices stay competitive, equitable, and true to our compensation philosophy.

If you're a strategic thinker who thrives at the intersection of data, business partnership, and innovation — and you're excited to shape how a leading tech company rewards its people — we'd love to hear from you.

What you’ll do:

• Cultivate strong, collaborative partnerships with HRBPs, Talent Acquisition, and Engineering & Product leaders, serving as a trusted advisor on the full spectrum of compensation activities — including new hire offers, promotions, critical talent decisions, and retention strategies
• Harness market insights, industry trends, and internal talent data — amplified by AI-powered tools — to deliver sharp, data-driven recommendations that strengthen the effectiveness and competitive positioning of Pinterest's compensation practices
• Critically assess the effectiveness of existing global programs, practices, and processes, and champion actionable recommendations for improvement that align with external market trends and Pinterest's strategic objectives
• Drive key compensation initiatives from end to end, including annual compensation planning, promotion cycles, and equity award cycles
• Design, build, and maintain compensation tools, dashboards, and automated reporting solutions that elevate the speed, accuracy, and accessibility of compensation insights for business partners and leadership
• Develop and continuously refine compensation communication and training materials that drive deeper understanding, engagement, and adoption of Pinterest's compensation programs across the organization

What we are looking for:

• A minimum of 5 years supporting global compensation programs and client groups, ideally across Engineering and/or Product organizations
• Familiarity with one or more insights tools strongly preferred, such as Market Pay, Compa, and/or Radford
• Comfortable working in Google Sheets
• Hands-on experience with an HRIS, with Workday a plus
• A track record of using AI to develop compensation tools or dashboards, paired with rigorous oversight of accuracy and integrity
• Strong interpersonal and communication skills, grounded in a solutions-oriented mindset
• A natural relationship-builder who partners effectively across functions
• Sharp analytical and quantitative abilities, with an unwavering commitment to accuracy
• A holistic problem solver with a growth mindset, unafraid to challenge assumptions and apply critical thinking
• Adept at juggling competing priorities and supporting multiple stakeholders in a fast-moving environment
• Skilled at applying AI to streamline compensation workflows, while validating outputs and retaining ownership of final recommendations
• Outstanding planning, organizational, and project management capabilities
• Bachelor's degree in HR, Business, Finance, or a related field — or equivalent hands-on experience

Relocation Statement: 

• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

In-Office Requirement Statement:

• We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role. Roles in our People team will meet for in-person collaboration and connection throughout the year. Therefore eligible candidates will need to be in a commutable distance from an office or People Team hub in the following locations (San Francisco Bay Area, Santa Cruz, CA, San Diego, CA, Los Angeles, CA, Chicago, IL, New York, NY (includes New Jersey & Connecticut tri-state area) Seattle, WA, Washington DC, Atlanta, GA, Dallas-Fort Worth, TX, Houston, TX Denver, CO, Charlotte, NC, Portland, OR,  Miami / Fort Lauderdale, FL)

#LI-REMOTE

#LI-AAR

Reporting to the Director, Global Payroll, the Sr, Global Employment Tax is the operational lead for payroll-related employment tax matters worldwide. This role sits within the Payroll organization and helps ensure end-to-end tax compliance across pay, benefits and statutory reporting. You’ll lead the global employment tax lifecycle, from advising on new programs and benefits to managing filings, audits and tax authority inquiries across multiple jurisdictions.

What you’ll do:

• Lead global employment tax operations, ensuring accurate and timely compliance for payroll, benefits and required statutory filings across all countries where we operate.
• Serve as the main point of contact for employment tax audits and authority inquiries, partnering directly with federal, state, local and international tax authorities to resolve issues and reduce financial and compliance risk.
• Build and maintain clear tracking and governance processes for global tax audits, disputes, notices, deadlines and year-end reporting requirements.
• Partner with Benefits and Total Rewards to review new employee programs, compensation structures and fringe benefits so they’re implemented in a tax-compliant and efficient way.
• Oversee employment tax compliance for foreign worker and special tax regimes, including inbound and expatriate arrangements, ensuring accurate setup and ongoing administration.
• Support global year-end employment tax reporting, including forms such as W-2s, P11Ds and other required filings, to ensure accuracy and on-time delivery in each region.
• Monitor changes in employment tax laws and reporting requirements globally, and translate those changes into payroll process, controls and system updates.
• Use data, automation and AI to accelerate issue spotting, summarize tax changes, improve audit readiness and reduce manual effort, while applying judgment and verification to ensure accuracy and quality.

What we’re looking for:

• Minimum of 5 years of experience in global employment tax and payroll compliance across multiple countries.
• Experience in US and international employment tax rules, including fringe benefits, equity compensation and social security obligations.
• Experience in leading employment tax audits, responding to tax notices and working directly with authorities such as the IRS, HMRC, ATO and similar agencies.
• Experience in leading complex compliance cycles, including global year-end reporting and statutory employment tax filings.
• Experience in partnering cross-functionally with Payroll, Finance, HR, Legal, Tax and external advisors to solve issues and drive compliant outcomes.
• Demonstrated ability to use AI to improve the speed and quality of analysis, documentation and compliance workflows, with a clear approach to validating accuracy and protecting sensitive data.
• Strong judgment, attention to detail and ownership, with a consistent approach to identifying risk, resolving issues and improving processes.
• Bachelor’s degree in Accounting, Finance, a related field or equivalent experience.

Relocation Statement:

• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

In-Office Requirement Statement: 

• We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
• This role will be in person 1-2 times every 6-months and therefore can be situated anywhere in the country. 

#LI-REMOTE 

The Team: 

The Ads Quality & Measurement team sits at the center of Pinterest’s ads systems, where machine learning, AI, measurement and marketplace quality come together to create value for advertisers and useful, inspiring experiences for Pinners. As the Director of Technical Program Management for Ads Quality & Measurement, you’ll use your technical understanding and business judgment to lead a critical function responsible for cross-cutting programs with company-level objectives.  You will shape the systems that determine how Pinterest connects the right advertisers with the right users at the right moments. 

This is one of the most important TPM leadership roles in the Monetization organization. You’ll help define the strategy, operating model, metrics framework and delivery system for a portfolio that directly supports Pinterest’s growth, advertiser performance and Pinner relevance goals. 

What you’ll do:

• Lead an impactful team of senior TPMs and ICs responsible for cross-org, company-level programs across Ads Quality & Measurement, including areas such as Ads Ranking, Match Quality, Whole Page Relevance, measurement systems and platform investments.
• Set a clear strategy and vision for the Ads Quality & Measurement TPM function, translating advertiser performance, Pinner relevance and marketplace quality goals into measurable roadmaps, operating mechanisms and execution plans.
• Drive alignment across Product, Engineering, Data Science, Design, and Go-to-Market teams to deliver complex programs that improve advertiser value while maintaining high-quality, helpful experiences for Pinners.
• Own the metrics and accountability framework for the portfolio, connecting performance, relevance, experimentation and delivery signals into a clear source of truth for what shipped, what moved the metrics and why.
• Bring structure and momentum to ambiguous, high-stakes work by establishing decision frameworks, surfacing trade-offs, managing dependencies and increasing decision velocity across executive and cross-functional teams.
• Lead the operating cadence for the organization, including portfolio reviews, resource planning, launch readiness, dependency management, risk management and executive communications.
• Embed the use of AI across the org to accelerate synthesis, planning, reporting and repeatable program workflows, while applying judgment, verification and appropriate guardrails to ensure quality, privacy and correctness.
• Develop a high-performing AI-first TPM team through coaching, constructive feedback, succession planning and a culture of ongoing learning, growth and equitable development.

What we’re looking for:

• Minimum of 10 years of experience in technical program management or related experience leading multiple company-level programs that impact business-critical objectives.
• Minimum of 2 years of people management experience, including experience leading senior TPMs, managers or senior ICs through complex, cross-functional technical work.
• Experience leading large-scale programs in ads, marketplace systems, machine learning, AI, ranking, recommendation systems, experimentation, measurement, data platforms or similarly complex technical domains.
• Experience setting strategy for a technical function, translating ambiguous business opportunities into clear priorities, measurable outcomes, operating mechanisms and durable execution plans.
• Experience building accountability systems across teams, including metric frameworks, roadmap tracking, launch governance, dependency management and executive-level reporting.
• Strong technical judgment and communication skills, with experience influencing senior leaders, aligning multiple organizations and making thoughtful trade-offs on behalf of the business.
• Demonstrated experience using AI to improve speed and quality in day-to-day work, with a clear approach to validating accuracy, protecting sensitive data and remaining accountable for final decisions and deliverables.
• Bachelor’s degree in a relevant field such as Computer Science, Engineering, Data Science, Mathematics, Business or equivalent experience.

Relocation Statement:

• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

In-Office Requirement Statement:

• We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
• This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.

#LI-REMOTE

#LI-DM57

Quality Assurance Specialist

Location: Los Angeles, CA (In-Office)

Travel: Up to 25% of the time

Sweetgreen is on a mission to build healthy communities by connecting people to real food. We passionately believe that real food should be convenient and accessible to everyone. Every day in each sweetgreen, our 5,000 team members make food from scratch, using fresh ingredients and produce delivered that morning. And in our local communities, we’re committed to leaving people better than we found them. We’re in the business of feeding people, and we’re out to change what that means. Our teams are our most valuable ingredient, the heart of our company, the face of our brand, and what truly makes the sweetgreen experience special and unique.

Sweetgreen’s Supply Chain Quality Assurance program is organized around five pillars: Specification Management, Supplier Qualification, Audit & Compliance, HACCP & CTQ, and Regulatory Compliance. At Sweetgreen, Quality sets the standards, and business teams own compliance.

The Quality Assurance Specialist is an individual contributor on the Supply Chain Quality Assurance team and the program’s hands-on executor across all five quality pillars. The idea candidate will have experience turning category quality strategy into day-to-day execution, developing and maintaining specifications, processing supplier qualification documentation, coordinating audits and corrective actions, and supporting culinary hand-offs. This person will ensure the underlying records, specs, and compliance activities are accurate, complete, and on schedule. We are looking for a detail-oriented quality professional with strong fundamentals in food science, a collaborative mindset, and a passion for real food.

You will:

• Own and continuously evolve the ingredient and finished product specification and CTQ frameworks across the portfolio, setting the standards and methods that ensure accuracy, completeness, and alignment with Sweetgreen’s quality standards, regulatory requirements, and culinary intent (Specification Management)
• Lead the supplier qualification process end-to-end, independently reviewing onboarding documentation, third-party audits, HACCP and Food Safety Plans, product specs, and allergen declarations, and making supplier approval recommendations (Supplier Qualification)
• Drive the supplier audit and compliance program, coordinating third-party and internal audits, adjudicating corrective actions to closure, and maintaining audit standards, schedules, and documentation (Audit & Compliance)
• Serve as the subject matter expert for HACCP and CTQ programs, conducting hazard analyses, defining critical control point documentation, and leading verification activities related to ingredient and supplier risk (HACCP & CTQ)
• Own Sweetgreen's regulatory compliance activities, including label and allergen review, FSMA 204 traceability documentation, and ingredient attribute standards (Regulatory Compliance)
• Lead the culinary hand-off process from supplier to restaurant, partnering with the Culinary and Supply Management teams to ensure new and modified ingredients meet quality, food safety, and operational requirements before launch
• Establish and maintain QA documentation systems and standards, including supplier certificates of analysis (COAs), letters of guarantee, allergen statements, and compliance records
• Analyze supplier quality performance using data from FoodLogiQ and other quality management systems, identifying trends and independently driving issues to resolution
• Develop process documentation, SOPs, and quality system enhancements, contributing to the ongoing evolution of the QA function’s methods and techniques and supporting LTO and new product introduction (NPI) timelines

Desired traits:

• A subject matter expert who takes full ownership of specifications, documentation, and compliance activities with thoroughness and precision
• An independent operator who can prioritize and drive multiple workstreams across audits, specifications, and culinary
• A strong communicator who partners effectively across Culinary, Supply Management, and Operations to translate quality requirements into practical execution
• A food safety advocate with deep curiosity about ingredients, sourcing, and what it takes to deliver real food at scale
• A sustainability-minded professional with an interest in responsible sourcing, including regenerative agriculture, animal welfare standards, and greenhouse gas emissions reduction
• A continuous improvement mindset, comfortable with developing new standards, methods, and tools that strengthen the QA function
• This role requires spending up to 25% of the time traveling to visit suppliers, co-manufacturers, and distribution facilities

Desired experience:

• 4-5 years of experience in food quality assurance, food safety, or a related role within food manufacturing, foodservice, or restaurant supply chain; Bachelor’s degree in Food Science, Microbiology, or a related field, or equivalent work experience
• Demonstrated expertise in ingredient specification development and management, including COAs, allergen documentation, and nutritional labeling
• Experience leading or supporting supplier audit programs (SQF, BRC, FSSC 22000, or similar) and corrective action tracking
• Working knowledge of HACCP principles, food safety regulations (FDA, USDA), and quality management systems
• Strong organizational skills with proficiency in managing documentation, databases, and quality tracking tools; experience with FoodLogiQ or similar platforms preferred
• Exposure to culinary development processes, new product launches, or menu innovation within a restaurant or foodservice environment is highly preferred

What you'll get:

• Highly competitive pay + bonus plan
• Three different medical plans to suit your and your family's needs
• Dental and Vision insurance
• Flexible PTO plan
• 401k program
• Employee HSA and FSA
• Complimentary greens
• An opportunity to make a real impact on the people around you, both by growing them and by connecting them to real food
• To live the sweetlife and celebrate your passion + purpose
• A collaborative team of people who live our core values and have your back
• A clear career path with opportunities for development, both personally and professionally
• Free sweetgreen swag

Come join the sweetlife!

About sweetgreen

Sweetgreen is a national restaurant brand dedicated to building healthier communities by connecting people to real food. Since 2007, Sweetgreen has reimagined fast food to be fresh, flavorful, and rooted in relationships with farmers and communities. As we grow, we are committed to developing our people in our restaurants and at our support center, so that everyone can be part of the movement. When you join Sweetgreen, you not only invest in your own future but help create spaces where food, people, and purpose come together

This role is within the Engineering, Product, and Design (EPD) Compliance Technical Program Management team which delivers critical & strategic technical compliance outcomes by directing and scaling engineering effort across organizational and functional boundaries. The programs they lead have most or all of these characteristics:

• Strategic importance to Pinterest
• Distributed ownership
• Complexity
• Critical technical area or platform

The ideal candidate is an experienced Staff-level Technical Program Manager with deep SOX domain fluency and strong technical judgment, who excels at strategically leading complex, cross-functional programs and influencing senior leadership. This person must also embrace an AI-first execution mindset, leveraging GenAI to streamline program operations while ensuring compliance and safety-by-design.

What you’ll do:

• Lead strategic compliance engineering programs that span multiple teams and organizations, translating broad risk and control objectives into executable roadmaps, milestones, and measurable outcomes.
• Build and run operating mechanisms for program health, dependency management, decision-making, and executive visibility across audits, remediation efforts, and control maturity initiatives.
• Modernize the SOX audit program by transitioning compliance workflows from manual, high-toil evidence collection to AI-driven, automated control monitoring and audit readiness, driving greater efficiency and scalability across the organization.
• Partner with Engineering and Product as core strategic partners, and work closely with Finance, engineering control owners, and Contractors to align on priorities, sequencing, ownership, and delivery accountability.
• Drive durable improvements in how the org plans, tracks, and evidences control execution, reducing manual effort and improving consistency, readiness, and trust.
• Anticipate program and technical risks early, frame trade-offs clearly, and influence leaders through crisp recommendations that balance compliance requirements with engineering pragmatism.
• Create best practices, tools, and methodologies that raise execution quality for the broader organization, not just for a single program.
• Use GenAI as the default operating model for EP PgM execution—producing AI-assisted first drafts of core program artifacts, modernizing high-toil workflows into AI-first mechanisms (e.g., intake triage, status synthesis, action/decision extraction, risk & dependency tracking), and synthesizing signals to proactively surface risks, decision/trade-offs, and escalation paths.
• Prototype solutions to augment decisions through data (e.g. dashboards, data analysis) or simplify processes (e.g. process and workflow helpers, or internal tools) using AI coding assistants (“vibe coding”).
• Follow Pinterest AI guidance for risk, governance, and safety-by-design: appropriately handle sensitive data, validate AI-generated outputs, document assumptions/limits, and ensure AI-assisted workflows meet applicable policy/compliance expectations before broad adoption.

What we’re looking for:

• BS in a technical discipline or equivalent experience (7+ years of technical program management or closely related experience leading large-scale technical programs across multiple teams and stakeholders).
• Expertise in navigating the complexities of SOX compliance across distributed engineering and business organizations, driving audit readiness through rigorous program management, clear executive reporting, and alignment across diverse control owners.
• Experience leading large, cross-functional technical programs with significant ambiguity, senior stakeholder management needs, and outcomes that matter at company level.
• Demonstrated ability to influence Engineering, Product, Finance, and other strategic partners through strong judgment, structured execution, and clear communication.
• Strong program leadership in environments with complex dependencies, shifting priorities, risk management needs, and a mix of technical and business stakeholders.
• Comfort operating deeply in engineering contexts: understanding system constraints, challenging assumptions, surfacing technical risks, and helping teams make sound trade-offs.
• Track record of building mechanisms that scale—operating rhythms, governance, templates, tools, and processes that improve quality and predictability across many teams.
• Domain strength in compliance, controls, audit readiness, or similarly regulated/risk-sensitive environments is strongly preferred.
• AI-first execution mindset: demonstrated ability to use GenAI to accelerate planning, program operations, and stakeholder communications—starting with AI drafts and applying strong judgment to validate, refine, and drive decisions.
• Workflow design, AI fluency, data & insights orientation: experience turning repeatable program work into durable, low-toil mechanisms and improving decision-making by using GenAI (e.g., strong prompting, vibe coding lightweight scripts/tools, dashboards, data analysis and leveraging agents where appropriate)
• Safety-by-design AI fluency: experience operating within AI governance expectations (risk assessment, data handling, model/output validation, auditability/traceability) and proactively identifying where AI use is not appropriate or requires additional controls.

Relocation Statement:

• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

In-Office Requirement Statement:

• We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
• This role will need to be in the office for in-person collaboration 1 time every 6-months and therefore can be situated anywhere in the country. 

#LI-REMOTE

#LI-JD3

About the role:

We’re looking for a Distinguished Engineer to set the technical vision and lead foundational work across Homefeed, Search, and our emerging AI Assistant experiences at Pinterest. This role sits at the intersection of relevance, ranking, retrieval, and generative AI, and will shape how hundreds of millions of Pinners discover and act on inspiration every day.

You will operate as a cross-cutting technical leader: defining long-term architecture, raising the bar on ML and systems excellence, and partnering closely with product and executive leadership to drive step‑function improvements in engagement, quality, and creator value.

What you’ll do:

• Define the long-term technical strategy and architecture for Homefeed, Search, and AI Assistant, including retrieval, ranking, personalization, and generative experiences.
• Drive a multi‑year roadmap for unifying signals, features, and models across surfaces to deliver a coherent, high-quality discovery experience.
• Lead the design and adoption of large-scale retrieval and ranking systems (e.g., multi-stage retrieval, representation learning, multi-objective optimization) that materially improve relevance and monetization.
• Architect how LLMs and foundation models integrate with our core discovery stack (e.g., query understanding, intent modeling, content understanding, conversation orchestration, safety/guardrails).
• Set technical direction for experimentation, measurement, and evaluation frameworks, including offline metrics, online experimentation, and causal inference for discovery and generative use cases.
• Provide hands-on technical leadership on a small number of high-leverage projects: design critical components, review designs/PRs, de-risk complex launches, and mentor senior engineers and staff+ TLs.
• Partner deeply with Product, Data Science, Research, and Design to frame the right problems, translate product bets into robust technical plans, and ensure we are solving for long-term platform health, not just short-term metrics.
• Raise the bar for engineering excellence: reliability, performance, security/privacy, cost efficiency, and operational health of large-scale ML systems.
• Represent Pinterest externally for these domains (e.g., talks, publications, partnerships) and help attract and grow top talent.
• You will report into Pinterest’s Core Engineering leadership and work horizontally across multiple product and platform teams responsible for Homefeed, Search, and AI Assistant.
• You will spend a meaningful portion of your time on hands-on technical work (design, reviews, prototyping) while also driving long-term strategy, standards, and alignment across organizations.
• You will be measured on durable technical impact: system-level improvements, model and product outcomes, reduction in complexity and operational risk, and the growth of leaders and capabilities around you.

What we’re looking for:

• 15+ years of industry experience in large-scale systems and/or machine learning, with a track record of impact in search, recommendations, feeds, or conversational AI.
• Proven experience as a Distinguished Engineer, Architect, or equivalent senior technical leader driving cross‑org technical strategy and execution.
• Deep expertise in at least two of the following, and strong familiarity with the others:
  • Large-scale retrieval and ranking (e.g., learning-to-rank, multi-task and multi-objective optimization, bandits, RL for recommendations).
  • Representation learning (e.g., embeddings, multi-modal models, dense and sparse retrieval).
  • Search systems (indexing, query understanding, relevance tuning, latency/throughput optimization).
  • Large language models and generative AI (prompting, fine-tuning, RAG, agents, safety/guardrails, evaluation).
• Demonstrated ability to define and drive multi-year architectural transformations at scale (e.g., re-architecting a core ranking stack, unifying feature platforms, evolving legacy systems to modern ML platforms).
• Strong product intuition and experience partnering with PM/Design/Data Science on ambiguous, 0→1 and 1→N product bets.
• Exceptional communication skills: able to crisply articulate strategy, tradeoffs, and technical direction to executives, peers, and broad engineering audiences.
• Passion for mentoring and growing senior/staff engineers; history of building strong engineering cultures and communities of practice.
• Bachelor’s degree in computer science, a related field or equivalent experience.

Nice to have:

• • Prior experience in consumer discovery products at global scale (e.g., feeds, search, recommendations, marketplaces, or assistants).
  • Experience building or integrating AI assistants or agentic workflows into consumer experiences.

Relocation Statement:

• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

In-Office Requirement Statement:

• We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
• Some teams will need you to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.  While other teams will need you to be in the office for in-person collaboration 1 times per week and therefore needs to be in a commutable distance from one of the following offices, [SF, Palo Alto, Seattle].

 #LI-REMOTE

#LI-AG8

Our Web Platform team is responsible for building and maintaining the critical systems that power Discord's frontend development across web, desktop, and mobile platforms. These systems support hundreds of engineers daily, process thousands of builds and deployments, and enable rapid feature delivery through robust tooling infrastructure. Through developing and operating foundational JavaScript build systems - including linters, bundlers, package managers, and CI/CD automation - our work allows internal developers to ship features quickly and safely while ensuring optimal performance, correctness, and developer ergonomics. This team also owns the localization and translation systems that power the strings and copy found across all of our apps and platforms.

As a Senior Software Engineer on this team, you will continuously improve our build tooling, developer workflows, and infrastructure - affecting the productivity of every frontend engineer at Discord and ultimately every user interaction on the platform!

What You'll Be Doing:

• Building and maintaining the tools, pipelines, and processes that keep frontend development at Discord fast, safe, and reliable.
• Becoming an expert in JavaScript tooling and serving as a resource to help teams solve any and all problems they encounter during development.
• Refactoring and upgrading the codebase to pay down tech debt, keep up with the state of the art in web development, and drive progress toward better maintainability.
• Writing new and unique tools based on the specific needs of Discord’s frontend projects to make everything Just Work.
• Digging deep into bundlers, linters, formatters, editor plugins, and more to optimize their performance, adopt and test new features early on, and continuously improve the experience for the developers using them.

What you have:

• 3+ years of working with JavaScript tools and the Node.js ecosystem.
• Familiarity with and a desire to work across multiple programming languages (generally including JavaScript/TypeScript, Python, Rust, Kotlin, Go, and Swift).
• Experience developing and maintaining CLI tools and packages in JavaScript.
• A strong sense for writing maintainable code and deliberately documenting for the future.
• Understanding of all of the tools involved in frontend development and how they work together.

Bonus Points:

• Familiarity and experience with localization in frontend applications.
• Familiarity with React Native, related tools (Metro, Hermes), and bridging between JavaScript and native code.
• Experience with directly maintaining or writing plugins for tools like bundlers, linters, or formatters in any language.
• Experience with CI/CD orchestration, Cloudflare workers, cloud storage providers, and other application deployment processes.

Candidates must reside in or be willing to relocate to the San Francisco Bay Area (Alameda, Contra Costa, Marin, Napa, San Francisco, San Mateo, Santa Clara, Solano, and Sonoma counties). Relocation assistance may be available.

The US base salary range for this full-time position is $196,000 to $220,500 + equity + benefits. Our salary ranges are determined by role and level. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include equity, or benefits.

This role sits at the intersection of advertiser experience and ad creative, owning the tools and workflows that help advertisers create, manage, and optimize the right ad for the right Pinner at scale. You’ll shape how creative assets are uploaded, organized, and activated across campaigns, including new AI‑powered and automated solutions. Your work will directly impact how efficiently advertisers of all sizes can create on‑brand, high‑performing campaigns, and will be a key driver of Pinterest Ads revenue growth.

What you’ll do:

• Own and evolve core surfaces in Ads Manager, where advertisers of all sizes plan, buy, optimize, and measure their campaigns.
• Partner closely with Product, Research, Engineering, Data Science, and Marketing to align on, and ship improvements for both self‑serve and managed advertisers, across global markets.
• Deeply understand advertiser and agency workflows through research, data, and customer conversations; translate those insights into clear solutions
• Build solutions to drive product-led growth of revenue and high priority advertiser features
• Explore and ship AI features to help advertisers get customer support, reporting, recommendations and eventually take action on their behalf

What we’re looking for:

• Experience with digital advertising and growth centric design: You understand performance ads concepts (e.g., optimization goals, bidding, attribution, creative testing) and how creative impacts performance.
• Strong product discovery skills: You’re comfortable talking to customers, mapping workflows, validating problems, and translating insights into clear product strategies and roadmaps.
• Proven success collaborating with cross‑functional teams: You’ve driven alignment and shipped products with engineering, design, marketing, sales, and operations partners in a fast‑paced environment.
• Comfort with ambiguity and a bias for action: You can bring clarity to ambiguous problem spaces and move quickly while keeping stakeholders informed.
• Excellent communication of complex topics: You can explain technical concepts and tradeoffs to non‑technical audiences and drive clear decisions.
• Leverage AI tools for research, analysis and prototyping to drive high velocity product outcomes.
• Bachelor’s degree in design, a related field or equivalent experience.
• 5+ years in Product Design (or equivalent).

Relocation Statement: 

• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

In-Office Requirement Statement:

• We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
• This role will need to be in the office for in-person collaboration 1-2 times every 6-months and therefore can be situated anywhere in the country.
  
  

#LI-REMOTE

#LI-JD3

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible.

We are looking for a Data Scientist to join our marketing org. As a Data Scientist you introduce greater scientific rigor into the marketing measurement and optimization processes to shape Pinterest’s revenue growth and marketing strategy. The results of your work will influence and drive strategic decisions for the company - identify investment opportunities for growth, understand revenue growth and behavior, and define metrics to grow and sustain our advertiser base. You will collaborate on a wide array of business problems with a diverse set of cross-functional partners across Marketing, Product, Engineering, Analytics and others. 

This role sits within the Marketing team and supports business marketing efforts aimed at driving revenue growth for Pinterest.

What you’ll do:

• Analyze advertiser behavior across the end-to-end funnel to  identify factors influencing acquisition, conversion, retention and churn. 
• Lead the design, implementation, and continuous improvement of advanced marketing measurement frameworks and statistical models to quantify marketing ROI. Marketing channels could be different paid media, email, in-product, organic social, webinars, elearning platform,in person events etc. 
• Build and deploy statistical and machine learning models such as propensity, forecasting, and lifetime value (LTV) models—to optimize marketing strategies and enhance audience targeting.
• Develop and refine attribution methodologies to evaluate the effectiveness of marketing initiatives across multiple channels.
• Assess the incremental impact of marketing activities using causal inference techniques and testing/experiment frameworks.
• Conduct deep, strategic analyses to address key business questions, such as how to improve marketing ROI, how to improve marketing budget allocation to optimize the business impact, measuring the impact of marketing in both mature and new markets, identifying opportunities to increase advertiser growth and revenue through marketing initiatives
• Translate complex analytical findings into clear, actionable insights and strategic recommendations for both technical and non-technical stakeholders, including senior leadership.
• Design, maintain, and promote dashboards and automated reporting tools to empower stakeholders with self-serve, data-driven decision-making capabilities. Build and optimize ETL data pipelines to automate reporting, support deep dive analysis and feature engineering for analytical models.
  
  

What we’re looking for:

• 6+ years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problems.
• Masters degree in a quantitative field such as mathematics, statistics, computer science or engineering.
• Excellent communication skills, able to lead initiatives and communicate findings to the leadership and cross-functional teams, especially non-technical audiences. Explains work and thought processes clearly and concisely.
• Hands-on experiences with building marketing measurement solutions to quantify the business impact of marketing tactics and investments. 
• Strong background in statistics and quantitative analysis, with experience in applying advanced statistical techniques to real-world problems.
• Expertise in at least one scripting language (ideally Python/R). Proficiency in SQL/Hive. Ability to write efficient SQL queries.
• Strong business and product sense. Strong skills in shaping vague questions into well-defined analyses and success metrics that drive business decisions.
• Experience leading key technical projects.
• Strong Experimentation background.
• Statistical rigor. Experience with causal inference projects.

In-Office Requirement Statement:

• We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
• This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.

Relocation Statement:

• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

#LI-NM4

#LI-REMOTE

About tvScientific

tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform. Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business.

We are seeking a Site Reliability Engineer to help operate, scale, and continuously improve a cloud-native platform built on AWS, Kubernetes/EKS, and ArgoCD-driven GitOps workflows. This role will contribute to improving the reliability, scalability, automation, observability, and operational maturity of our infrastructure and delivery ecosystem. The ideal candidate is a hands-on engineer with solid production experience and a strong foundation in building and supporting resilient platforms using infrastructure as code, automation, and modern Kubernetes operational practices.

What you’ll do:

• Ensuring the reliability, availability, and performance of production infrastructure and platform services
• Operating and scaling Kubernetes platforms, including governance and support for multi-tenant workloads
• Managing GitOps-based deployment workflows using ArgoCD and Helm
• Supporting infrastructure provisioning and change management through Terraform/Terragrunt
• Building and supporting CI/CD automation and deployment workflows using GitHub Actions
• Participating in incident response, root cause analysis, and post-incident improvement initiatives
• Reducing operational toil through scripting, tooling, and process automation
• Advancing observability practices across logs, metrics, traces, dashboards, and alerting
• Supporting secure secrets integration, IAM-aware operations, and platform guardrails
• Partnering closely with application, security, and platform teams to improve reliability and delivery outcomes

What we're looking for:

• 4+ years of experience in Site Reliability Engineering, DevOps, Platform Engineering, or Cloud Infrastructure
• Strong hands-on experience operating AWS in production environments
• Good expertise in Kubernetes, including cluster operations, troubleshooting, workload reliability, and platform administration
• Experience with Kubernetes multi-tenancy, including namespaces, RBAC, quotas, policies, and tenant isolation patterns
• Experience implementing and operating ArgoCD within a GitOps delivery model
• Strong hands-on experience with Helm
• Experience with Terraform/Terragrunt for infrastructure provisioning and environment management
• Solid scripting and automation skills using Bash and/or Python
• Experience building, maintaining, or supporting CI/CD pipelines, ideally using GitHub Actions
• Strong troubleshooting skills across Linux, containers, IAM, networking, and distributed systems
• Experience with monitoring, alerting, and observability in production environments
• Demonstrated ownership mindset with experience handling incidents and resolving production issues
• Strong collaboration and communication skills, with the ability to work effectively across engineering, security, and platform teams
• Bachelor’s degree in computer science, engineering, a related field or equivalent experience
• Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs
• Strong track record of critical evaluation and verification of AI-assisted work (e.g., testing, source-checking, data validation, peer review)
• High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables

In-Office Requirement Statement:

• We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.

Relocation Statement:

• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

#LI-SM4

#LI-REMOTE

About tvScientific

tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform. Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business.

tvScientific is looking for an SDET Engineer for its Web Platform with strong expertise in web and API testing. This role requires a balance of manual testing excellence and automation skills, with a focus on validating end-to-end user flows across frontend, backend services, and APIs.

You will partner closely with frontend engineers, backend engineers, product managers, and designers to ensure our web platform and APIs are reliable, secure, and performant.

What you'll do:

• Own and drive quality for web platform features, spanning UI, APIs, and backend services
• Design and execute manual test cases and exploratory testing for complex web and API workflows
• Conduct thorough regression testing when bugs are resolved
• Build and maintain automated test suites for:
• Validate frontend–backend integration, data consistency, and error handling
• Perform API contract testing, schema validation, and negative/edge-case testing
• Collaborate with engineers during design, implementation, and code reviews to improve testability and catch issues early
• Integrate automated tests into CI/CD pipelines to provide fast, reliable feedback
• Analyze test failures, investigate root causes, and drive issues to resolution
• Advocate for quality best practices, including shift-left testing, risk-based testing, and automation strategy
• Identify, document, and track software defects using bug tracking tools like Jira
  
  

What we're looking for:

• Bachelor’s degree in computer science, engineering, a related field or equivalent experience
• 2+ years of experience in QA / Quality Engineering, with a strong focus on web platforms and APIs
• Proven hands-on experience with manual testing of complex, consumer-facing web applications
• Strong experience building and maintaining API tests using tools such as Postman, REST-assured, Supertest, or similar
• Hands-on experience with web automation frameworks (Playwright, Cypress)
• Solid understanding of HTTP, REST and API design principles
• Proficiency in at least one programming or scripting language (JavaScript, TypeScript)
• Experience working in Agile/Scrum environments
• Strong debugging, analytical, and communication skills
• Strategic partnership with stakeholders / Cross-functional collaboration that is high-trust and high-velocity
• Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs
• Strong track record of critical evaluation and verification of AI-assisted work (e.g., testing, source-checking, data validation, peer review)
• High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables
• Nice-to-Haves:
  • Experience testing large-scale, high-traffic web platforms
  • Familiarity with React or modern frontend frameworks
  • Experience with performance, load, or reliability testing for APIs and web applications
  • Exposure to feature flags, experimentation platforms, or observability tools

In-Office Requirement Statement:

• We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.

Relocation Statement:

• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

#LI-SM4

#LI-REMOTE

As Marqeta’s VP, Total Rewards you will play a pivotal role in shaping and executing the company's global total rewards strategy. This individual will lead our Compensation and Benefits functions, ensuring alignment with business objectives, market trends, and regulatory requirements. This role will play a strategic role providing counsel to senior leadership and directly interfacing with our Compensation Committee of the Board of Directors.

We work Flexible First. This role can be performed remotely anywhere within the United States or from our Oakland office. We’d love for you to join us!

The Impact You’ll Have

• Evolve and expand our total rewards strategy globally, ensuring that we attract, retain, and motivate our distributed teams.
• Lead the global design, implementation, and administration of competitive compensation programs, including base pay, variable pay, and equity incentives.
• Oversee the management of our employee benefits programs, ensuring they are competitive, cost-effective, and aligned with employee needs and company objectives.
• Conduct regular benchmarking and analysis to ensure our total rewards programs remain competitive in the market and support our talent acquisition and retention efforts.
• Partner with Finance and Legal teams to ensure compliance with all relevant regulations and governance requirements, particularly regarding executive compensation.
• Provide strategic guidance and recommendations to the Executive Leadership Team and the Compensation Committee of the Board of Directors on total rewards matters.
• In partnership with Legal and other internal People functions, ensure overall equity and diversity compliance globally. Manage EEO/AA compliance to include preparation, enforcement, and communication of Affirmative Action Plans and programs and timely required filings such as EEO-1 and Vets-100.
• Drive continuous improvement and innovation in our total rewards programs, leveraging technology and best practices to enhance efficiency and effectiveness.
• Lead, coach and develop a high-performing team of compensation and benefits professionals, fostering a culture of collaboration, accountability, and continuous learning, further developing future leaders.

Who You Are

• 10+ years of  experience in total rewards, compensation, and benefits management, with further experience in a leadership role.
• Demonstrated expertise in designing and implementing global compensation and benefits programs within the tech industry, ideally in both large established organizations and growth companies.
• Strong understanding of executive compensation principles, including experience interfacing with the Compensation Committee of the Board of Directors.
• Strategic mindset with the ability to think analytically and translate business objectives into effective total rewards strategies.
• Hands-on approach with a willingness to roll up sleeves and dive into details when necessary.
• Excellent communication and interpersonal skills, with the ability to influence and collaborate effectively across all levels of the organization.
• High level of integrity, ethics, and professionalism, with a commitment to upholding confidentiality and compliance standards.

Your Manager

• Helena Christianson, Chief People Officer 

Typical Process

• Application Submission
• Recruiter video call
• Hiring manager video call
• Virtual “Onsite” consisting of 4-5, 45 min calls
• Offer!

Compensation and Benefits

Marqeta is a Flex First company which allows you to choose your best working environment, whether that be from home or at a company office. To support Flex First, we calibrate pay to a competitive value according to working location. Compensation is aligned according to three tiers within the United States:

• National: A baseline tier that applies to most of the geographic territory of the United States.
• Premium: Slightly elevated from the National tier, and oriented toward a narrower set of higher cost-of-living areas, such as Los Angeles CA and Seattle WA
• Premium Plus: A tier for the most expensive working areas, like the San Francisco Bay area and New York City.

Visit this page or consult with a Recruiter to determine which tier would be applicable to you.

When determining salaries, we consider several factors including, but not limited to, skills, prior experience, and work location. The new-hire base salary range for this position is:

• National: $282,400 - $353,000
• Premium: $290,200 - $362,800
• Premium Plus: $298,000- $372,500

We also believe in recognizing the contributions of our people. That's why we award annual bonuses to eligible employees, rewarding both individual performance and the success of the entire company.

Along with monetary compensation, Marqeta offers

• Multiple health insurance options
• Flexible time off – take what you need
• Retirement savings program with company contribution and after tax contributions
• Equity in a publicly-traded company and an Employee Stock Purchase Program
• Family-forming benefits, fertility support, and up to 20 weeks of Parental Leave
• Free therapy sessions, financial and professional coaching, and legal advice
• Monthly stipend to support our remote work model
• Annual “development dollars” to support our people growth and development
• Through Flex First, the freedom to live and work wherever you and your family thrive

We are looking for inquisitive, well-rounded Android engineers to join our product Engineering teams. Working closely with product managers, designers, and backend engineers, you’ll play an important role in enabling the newest technologies and experiences. You will build robust frameworks & features. You will empower both developers and Pinners alike. You’ll have the opportunity to find creative solutions to thought-provoking problems. Even better, because we covet the kind of courageous thinking that’s required in order for big bets and smart risks to pay off, you’ll be invited to create and drive new initiatives, seeing them from inception through to technical design, implementation, and release.

What you’ll do:

• Build out Pinner-facing frontend features in Android to power the future of inspiration on Pinterest
• Contribute to and lead each step of the product development process, from ideation to implementation to release; from rapidly prototyping, running A/B tests, to architecting and building solutions that can scale to support millions of users
• Partner with design, product, and backend teams to build end to end functionality
• Put on your Pinner hat to suggest new product ideas and features
• Employ automated testing to build features with a high degree of technical quality, taking responsibility for the components and features you develop
• Grow as an engineer by working with world-class peers on varied and high impact projects
• Leverage AI to seek faster execution (i.e. draft, prototype, outline) and explore alternative options (i.e. iterate, compare approaches)
• Leverage AI to synthesize information (summarize, distill themes) and automate repeatable tasks (documentation, reporting, QA checks)

What we’re looking for:

• Deep understanding of Android development and best practices in Kotlin and/or Java, e.g. Activity Lifecycle, memory management, etc.
• 5+ years of industry Android application development experience, building consumer or business facing products
• Experience in following best practices in writing reliable and maintainable code that may be used by many other engineers
• Ability to keep up-to-date with new technologies to understand what should be incorporated
• Strong collaboration and communication skills
• Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs.
• Strong track record of critical evaluation and verification of AI-assisted work (e.g., testing, source-checking, data validation, peer review).
• High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables.

This position is not eligible for relocation assistance.

#LI-REMOTE

#LI-KK6

Our Web Platform team is responsible for building and maintaining the critical systems that power Discord's frontend development across web, desktop, and mobile platforms. These systems support hundreds of engineers daily, process thousands of builds and deployments, and enable rapid feature delivery through robust tooling infrastructure. Through developing and operating foundational JavaScript build systems - including linters, bundlers, package managers, and CI/CD automation - our work allows internal developers to ship features quickly and safely while ensuring optimal performance, correctness, and developer ergonomics. This team also owns the localization and translation systems that power the strings and copy found across all of our apps and platforms.

As a Senior Software Engineer on this team, you will continuously improve our build tooling, developer workflows, and infrastructure - affecting the productivity of every frontend engineer at Discord and ultimately every user interaction on the platform!

What You'll Be Doing:

• Building and maintaining the tools, pipelines, and processes that keep frontend development at Discord fast, safe, and reliable.
• Becoming an expert in JavaScript tooling and serving as a resource to help teams solve any and all problems they encounter during development.
• Refactoring and upgrading the codebase to pay down tech debt, keep up with the state of the art in web development, and drive progress toward better maintainability.
• Writing new and unique tools based on the specific needs of Discord’s frontend projects to make everything Just Work.
• Digging deep into bundlers, linters, formatters, editor plugins, and more to optimize their performance, adopt and test new features early on, and continuously improve the experience for the developers using them.

What you have:

• 3+ years of working with JavaScript tools and the Node.js ecosystem.
• Familiarity with and a desire to work across multiple programming languages (generally including JavaScript/TypeScript, Python, Rust, Kotlin, Go, and Swift).
• Experience developing and maintaining CLI tools and packages in JavaScript.
• A strong sense for writing maintainable code and deliberately documenting for the future.
• Understanding of all of the tools involved in frontend development and how they work together.

Bonus Points:

• Familiarity and experience with localization in frontend applications.
• Familiarity with React Native, related tools (Metro, Hermes), and bridging between JavaScript and native code.
• Experience with directly maintaining or writing plugins for tools like bundlers, linters, or formatters in any language.
• Experience with CI/CD orchestration, Cloudflare workers, cloud storage providers, and other application deployment processes.

Candidates must reside in or be willing to relocate to the San Francisco Bay Area (Alameda, Contra Costa, Marin, Napa, San Francisco, San Mateo, Santa Clara, Solano, and Sonoma counties). Relocation assistance may be available.

The US base salary range for this full-time position is $196,000 to $220,500 + equity + benefits. Our salary ranges are determined by role and level. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include equity, or benefits.

Marqeta is seeking a Director of Marketing Analytics to serve as the intelligence backbone of our go-to-market engine. This is a senior leadership role for someone who doesn't just measure marketing — they shape it. You will define how Marqeta understands marketing's contribution to revenue, build the analytical infrastructure and team to prove it, and partner across Marketing, Sales, Finance, and Revenue Operations to influence how we invest, prioritize, and grow.

You will own the full analytics remit for marketing: multi-touch attribution across a complex, Enterprise B2B buying journey, pipeline contribution and influenced revenue modeling, channel performance, campaign effectiveness, and executive-level reporting. Critically, you understand that attribution in B2B is a strategic narrative as much as a technical one. You know how to build models that earn trust from Sales leadership and the CFO, not just satisfy marketing curiosity.

We work Flexible First. This role can be performed remote within the United States or from our Oakland, CA or New York City offices. We’d love for you to join us!

NOTE: if you are based within 35 miles of our Oakland, California, New York City (Midtown) or London office, you will be expected to be in-office 2 days / week. The Talent team will share more details if selected for the Recruiter Interview.

The Impact You’ll Have

• Define and own Marqeta's B2B marketing attribution strategy and partner with RevOps and Finance to land a measurement framework that Sales and the C-suite trust and use
• Build the connective tissue between marketing programs, media investments  and revenue outcomes: pipeline sourced, pipeline influenced, deal velocity, win rate by segment, and CAC by channel
• Lead a team of marketing analysts, establishing operating rhythms, analytic standards, and career development frameworks
• Serve as a senior strategic voice in GTM planning, bringing data-driven POVs to budget allocation, channel strategy, ICP prioritization, and campaign investment decisions
• Partner with Demand Generation, Product Marketing, and Brand teams to design measurement frameworks and testing protocols.
• Own executive-level marketing reporting to the CMO, CFO, and Board: translate complex data into clear narratives about where marketing is creating enterprise value
• Build and maintain the marketing data infrastructure in partnership with Data Engineering, ensuring clean, unified data across Salesforce, Marketo, paid channels, and intent platforms
• Develop forecasting models that project Enterprise NAL pipeline contribution from marketing investments, informing quarterly planning and headcount decisions
• Lead the marketing org's AI and automation strategy for analytics, identifying where machine learning, predictive scoring, and AI-generated insights can accelerate speed-to-insight
• Establish a culture of experimentation by designing statistically valid tests across channels and campaigns, and building institutional knowledge from results

Who You Are

• 10+ years in Enterprise B2B marketing analytics, GTM analytics, or growth analytics, with at least 3 years in a people leadership role
• Experience with complex B2B GTM motions including ABM, enterprise sales cycles, partner-influenced deals, and multi-stakeholder buying journeys
• Deep expertise in B2B attribution modeling: you understand the fundamental challenges of attributing revenue in long sales cycles with multiple buying group touches, and you have built models that balance rigor with organizational adoption
• Strong command of how marketing fits into the full revenue engine — you can speak fluently with Sales, Finance, and RevOps about pipeline, coverage ratios, CAC, LTV, and go-to-market efficiency
• Proven ability to influence strategy: you don't just report what happened, you shape what happens next. You've used data to shift budget (such as Events, Paid Media, etc), change channel mix, or redirect a program — and you can point to the outcome
• Proficiency with the core marketing and revenue tech stack: Salesforce, Marketo (or HubSpot), BI tools (Tableau, Looker, or equivalent), data warehousing (Snowflake, BigQuery, or similar), and familiarity with ABM/GTM software (Demandbase, 6Sense, etc)
• Strong proficiency in SQL and experience working directly with warehouse data to validate models, investigate anomalies, and support ad hoc analysis
• Comfortable with statistical modeling, regression analysis, and cohort analysis — you know when to use a model and when a well-structured spreadsheet is more persuasive
• Strong communicator who can translate analytical complexity into executive-level narratives without losing nuance
• Experience in fintech, payments, embedded finance, SaaS, or financial services strongly preferred
• Familiarity with AI/ML applications in marketing analytics — predictive lead scoring, churn modeling, anomaly detection — and a point of view on where these create real leverage vs. hype
• Comfortable operating in ambiguity, building programs from scratch, and operating without a fully defined playbook

Typical Process

• Application Submission
• Recruiter phone call
• Hiring manager video call
• Virtual “Onsite” consisting of 3-4, 45 min Video Interviews
• Offer!

Compensation and Benefits

Marqeta is a Flex First company which allows you to choose your best working environment, whether that be from home or at a company office. To support Flex First, we calibrate pay to a competitive value according to working location. Compensation is aligned according to three tiers within the United States:

• National: A baseline tier that applies to most of the geographic territory of the United States.
• Premium: Slightly elevated from the National tier, and oriented toward a narrower set of higher cost-of-living areas, such as Los Angeles CA and Seattle WA
• Premium Plus: A tier for the most expensive working areas, like the San Francisco Bay area and New York City.

Visit this page or consult with a Recruiter to determine which tier would be applicable to you.

When determining salaries, we consider several factors including, but not limited to, skills, prior experience, and work location. The new-hire base salary range for this position is:

• National: $200,000 - $250,000
• Premium: $207,000 - $258,800
• Premium Plus: $214,100 - $267,600

We also believe in recognizing the contributions of our people. That's why we award annual bonuses to eligible employees, rewarding both individual performance and the success of the entire company.

Along with monetary compensation, Marqeta offers

• Multiple health insurance options
• Flexible time off – take what you need
• Retirement savings program with company contribution and after tax contributions
• Equity in a publicly-traded company and an Employee Stock Purchase Program
• Family-forming benefits, fertility support, and up to 20 weeks of Parental Leave
• Free therapy sessions, financial and professional coaching, and legal advice
• Monthly stipend to support our remote work model
• Annual “development dollars” to support our people growth and development

The Production Engineering organization at Pinterest is accountable for ensuring overall Pinterest availability as well as enhancing Engineering teams' capability to design, build and operate robust systems at scale. Pinterest's applications and infrastructure handle billions of monthly page views and petabytes of data as Pinterest continues to grow and scale.

As a Senior Production Engineer on Solutions Engineering, you will design and build AI agents, platforms, tools, frameworks and methodologies to assure the reliability of our large-scale distributed systems serving hundreds of millions of monthly active users, handling hundreds of thousands of requests per second, and managing tens of petabytes of data. You'll lead infrastructure modernization initiatives, build intelligent automation that eliminates operational toil and amplifies engineering productivity, and transform successful consulting patterns into reusable platforms that democratize reliability expertise across Pinterest's 2500+ engineers.

What you’ll do

• Design and build AI agents that augment production reliability work - Develop agents that assist engineers with service health analysis, reliability recommendations, migration playbook generation, and risk identification, enabling faster decision-making while keeping humans in the loop for critical judgment calls
• Drive large-scale infrastructure modernization with AI-accelerated execution - Lead Kubernetes adoption and platform transitions using AI to generate automation, accelerate delivery, and create patterns that enable self-service adoption for standard use cases while tackling novel architecture challenges
• Transform consulting patterns into scalable platforms - Execute scoped reliability engagements with engineering teams, then encode successful approaches into AI-assisted tools, automation, and self-serve documentation that enable teams to handle similar problems independently while escalating complex challenges to experts
• Build the knowledge infrastructure that powers Pinterest's operational agent ecosystem - Create migration playbooks, operational runbooks, incident patterns, and best practices that democratize reliability expertise and raise the baseline capabilities of all Pinterest engineers
• Develop software solutions to enable reliability and operability of large-scale distributed systems - Build a deep understanding of how Pinterest's systems behave, scale, interact and fail, and use that insight to identify risks and opportunities for remediation through automation
• Build tools and automation to eliminate toil and reduce operational overhead - Create frameworks, processes and best practices that encode reliability expertise into software, making operational excellence accessible to all engineers while freeing experts to tackle harder problems
• Build meaningful, insightful and actionable SLIs - Develop service level indicators that provide clear signals of system health and enable data-driven reliability decisions across Pinterest Engineering
• Automate critical portions of Pinterest's engineering processes - Build automation that minimizes risk and maximizes the speed of innovation, enabling safe, rapid deployment and operational changes at scale
• Manage capacity and performance to help scale our infrastructure - Partner with teams to plan and optimize capacity across public and private clouds around the world, ensuring efficient resource utilization as Pinterest grows

What we’re looking for:

• 5+ years of industry experience building and operating large-scale, high-performance distributed systems
• Bachelor's degree in Computer Science or related field, or equivalent experience
• Strong programming skills in Python or Go - ability to build production-grade platforms, agents, and automation
• Deep knowledge of Linux/Unix internals and experience with open source infrastructure (MySQL, Kafka, Envoy, Hadoop, etc.)
• Infrastructure as Code experience (Terraform, Puppet, Chef, Ansible, Docker, Kubernetes)
• Experience deploying web applications to cloud infrastructure (AWS, GCP, or Azure) and working with distributed, service-oriented architecture
• Preferred:
  • Experience developing AI agents for infrastructure automation, operational decision-making, or reliability workflows
  • AI/ML infrastructure experience (LLM-based systems, model serving, agentic workflows)
  • Technical consulting or embedded SRE experience with cross-functional engineering teams

In-Office Requirement Statement: 

• We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection. 
• This role will need to be in the office for in-person collaboration 1-2 times every 6 months and therefore can be situated anywhere in the country. 

Relocation Statement:

• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

#LI-REMOTE

#LI-JT1

Millions of people across the world come to Pinterest to find new ideas every day. It’s where they get inspiration, dream about new possibilities and plan for what matters most. Our mission is to help those people find their inspiration and create a life they love. As a Pinterest employee, you’ll be challenged to take on work that upholds this mission and pushes Pinterest forward.

As a Principal Engineer on the AI Platform team, you'll help architect the infrastructure that powers both Generative AI and Recommender Systems across Pinterest's entire product suite. Our team builds the end-to-end engines for petabyte-scale data orchestration, model training and fine-tuning, and high-performance inference, ensuring our models scale seamlessly to hundreds of millions of inferences per second in service of over 600 million monthly active users.

What you’ll do:

• Set the technical vision and roadmap for the Pinterest AI Platform, aligning with business priorities and long-term company strategy.
• Drive cross-functional strategic initiatives that advance our platform capabilities across:
• Generative AI: multimodal data management, post-training, evaluation, and batch/online inference.
• Recommender Systems: feature stores, training infra, and large-scale high performance inference.
• AI-powered tools that automate the user experience across our platforms, connecting every stage of the AI/ML lifecycle to enhance productivity and accelerate development.
• Cultivate a collaborative and inclusive culture where every team member feels welcome and empowered, and provide candid, constructive feedback that accelerates individual and team growth.

What we’re looking for:

• Deep expertise in AI/ML infrastructure and distributed systems: Hands-on experience designing, building, and operating highly available, production-grade systems at large scale; strong technical judgment; and proficiency in at least one of C++, Java, or Rust.
• Proven track record of company-wide impact: Experience leading cross-organizational initiatives, navigating ambiguity, defining technical strategy, influencing architecture decisions, and aligning cross-functional partners and executives around a shared direction.
• Strong ownership and a high engineering bar: Sets and upholds high standards for engineering quality, integrity, and accountability, and takes end-to-end ownership of outcomes.
• Bachelor's degree in Computer Science or a related field.

Relocation Statement: 

• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

In-Office Requirement Statement: 

• We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
• This role will need to be in the office for in-person collaboration 1-2 times per quarter and therefore needs to be in a commutable distance from one of the following offices: Palo Alto, CA or San Francisco, CA.

#LI-REMOTE

#LI-AH2

Why Pinterest, Why Now

Pinterest is making a serious bet on performance advertising and delivering on that bet requires ads infrastructure operating at a fundamentally different scale than where it is today. The Platforms TPM team partners with engineering leadership across Ads Infrastructure, Core Foundations, Quality Engineering, and Client Platforms to turn platform strategy into clear, executable programs that ship.

This role exists because Pinterest's Ads & Core Infrastructure portfolio: Shopping index scale-out, next-gen indexing pipelines, catalog unification, and API modernization needs a TPM Leader who has done this before. Someone who can walk in, size up a complex portfolio, build the execution system it needs, and drive delivery with the kind of discipline that makes engineering leaders trust you with their hardest problems. If you've built your career in ads infrastructure or platform-scale data systems and you're ready to own the operating model rather than inherit one, this is that role.

What you’ll do:

• Own end-to-end TPM execution for Pinterest's Ads & Core Infrastructure portfolio: the primary focus of this role including Shopping index scale-out (300M → 1B+ items), next-generation indexing pipelines, catalog and ingestion unification, API modernization, and core infrastructure reliability programs.
• Build the execution operating model for this portfolio from the ground up: milestones, RAID discipline, decision forums, escalation paths, and accountability structures that give engineering teams the clarity to move faster.
• Partner with engineering leaders across Ads Infrastructure and Core Foundations to define program outcomes, sequence workstreams, manage cross-team dependencies, and drive delivery against multi-quarter goals.
• Manage and develop a small team of TPMs across Ads & Core Infra, Quality Engineering, and Client Foundations: setting direction, coaching on execution craft, and creating leverage while staying hands-on with the highest-complexity programs yourself.
• Provide senior leadership coverage and strategic judgment for Quality Engineering and Client Foundations programs, where experienced TPMs are already executing day-to-day.
• Build and run integrated operating cadences across the portfolio: roadmap planning, milestone reviews, dependency tracking, status reporting, and escalation paths to Platforms and EPD leadership.
• Use GenAI as the default operating model for program execution: AI-assisted program artifacts, status synthesis, risk and dependency tracking, and stakeholder communications and prototype lightweight dashboards or workflow tools using AI coding assistants to reduce toil across the portfolio.
• Surface risks, tradeoffs, and escalation paths proactively to senior engineering and EPD leadership: before they become incidents.
• Apply Pinterest's AI governance and safety-by-design standards: handle sensitive data appropriately, validate AI-generated outputs, and ensure AI-assisted workflows meet applicable policy and compliance expectations.

What we’re looking for:

• Ads infrastructure experience, for real. You've worked inside an ads platform, indexing, serving, pipeline architecture, catalog systems, or API infrastructure at a company operating at scale. You know what scaling a product index to 1B+ items actually requires. You can have a technical conversation with a principal engineer about tradeoffs without needing a translator.
• You've built execution systems where they didn't exist. You've come into a portfolio or team where the operating model was missing or broken, diagnosed it quickly, and built the structure that let teams move with confidence. You know how to establish the minimum viable execution system and iterate, you don't wait for perfect information to start.
• Technical depth with cross-domain range. Your core is ads infrastructure or platform-scale data systems, but you ramp quickly into adjacent technical domains such as  APIs, client platforms, reliability infrastructure and become credible there. Strong engineers trust your judgment even outside your primary background.
• Senior stakeholder management. You communicate at VP level without preparation time. You frame tradeoffs, drive alignment, and surface risks in the same conversation. You're proactive, not reactive, and engineering leaders seek you out rather than tolerate you.
• Execution discipline others can feel. When you're running a program, people know it. Milestones are real. Risks surface before they become incidents. You create a forcing function that makes teams better at delivery just by being in the room.
• People leadership without losing hands-on credibility. You've managed TPMs and made them better set direction, coached on craft, created leverage without losing the ability to be the most rigorous person in the room on your highest-stakes programs.
• AI-first operating instincts. You default to AI-assisted drafts, prompts, and lightweight tooling to accelerate your own work and reduce team toil. You apply strong judgment to validate outputs and know when AI use needs additional controls.
• Experience translating strategy into executable multi-quarter roadmaps with clear milestones, dependencies, and measurable outcomes across multi-team portfolios.
• Bachelors in a technical discipline, or equivalent experience (10+ years in a technical, program or analytical role)
• 5+ years experience in a technology people management role (engineering manager, product manager, program manager or technical consulting engagement manager)

Relocation Statement:

•  This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
  
  

In-Office Requirement Statement:

• We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
• This role will need to be in the office for in-person collaboration 1-2 times every 6-months and therefore can be situated anywhere in the country.

#LI-REMOTE

#LI-JD3

Social Finance, LLC seeks Senior Backend Developer, Banking Core in San Francisco, CA: 

Job Duties: Lead the development and testing of our banking core systems and services. Participate in shaping the technical architecture of the product and core banking migration. Help translate product requirements into user stories and technical solutions. Deliver highly available and scalable services in a production environment. Support the technical culture, and help grow the team. Generate ideas for new initiatives and technologies. Communicate with project leads, product managers and other software developers. Full time telecommuting is an option.

Requirements: Master’s degree in Computer Science, Engineering (any field) or related quantitative field and 3 years of experience in the job offered or in a related occupation.

Special Skill Requirements: (1) Profile scripting language (PSL); (2) Hierarchical databases-GT.M/MUMPS; (3) Core banking system development (FIS Profile); (4) Linux/UNIX Application environment; (5) Data migration and system upgrades; (6) Banking & Financial services Domain Knowledge; (7) US Banking Domain Knowledge; (8) Requirements Analysis and Functional Documentation; (9) System Integration using Service-Oriented Architecture; and (10) Project Ownership & delivery. Any suitable combination of education, training and/or experience is acceptable. Full time telecommuting is an option.

Salary: $187,574.00 - $206,331.00 per year & standard company benefits. 

Submit resume with references using the apply button on this posting or by email to: Req.# 1014.351.4 at: ATTN: HR, [email protected].

#LI-DNI

The Pinterest Labs group is dedicated to the development and research of applied machine learning. Our initiatives span a diverse range of AI/ML fields, including fundamental computer vision, multimodal large language models, multimodal representation learning, generative modeling, heterogeneous graph neural networks, and recommender systems. By building foundation ML models that utilize our extensive knowledge graph and billions of Pins, we aim to significantly enhance the core Pinterest product.

Our visual modeling team is currently seeking new members to focus on the advancement of vision-centric LLMs. We are building VLMs capable of perceiving intricate visual details and understanding user aesthetics to facilitate communication through visual assets using tools like multimodal search and text-to-image models. This role offers the opportunity to work with Pinterest's unique visual-text datasets to develop large-scale generative models for production. You will join the core visual pod, a collaborative group of approximately six engineers and a product prototyping team, to create specialized evaluation benchmarks and contribute to the broader research community.

What you’ll do:

• Prototype new model architectures for Pinterest VLMs. We’re looking for hands-on experience working with finetuning open-source LLM models and improve their visual perception and tool using capabilities.
• Develop new evaluation benchmarks that tailors to vision-centric capabilities such as fashion style recommendations.
• Read research papers, participate in group discussions, and help brainstorm our overall visual generative strategy at the company.
• Help with collection of relevant visual training data for Pinterest Canvas, particularly to conduct RLHF, targeted fine-tuning, etc.
• Publish and publicize your work via conferences, paper submissions, blog posts, etc. 
• Mentor more junior researchers or research interns within the Pinterest Labs organization.

What we’re looking for:

• Research engineers and scientists who have experience working with generative computer vision models, preferably various forms of visual encoders and LLMs.
• 2+ years of industry computer vision experience.
• M.S. or PhD in Machine Learning, Computer Science, or related areas.

Nice to Have:

• Publications at top ML conferences.
• Experience using Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring.
• Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration.

In-Office Requirement Statement:

• We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
• This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.

Relocation Statement:

• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
  
  
  

#LI-AK7
#LI-Remote 

We're looking for a Lead Product Manager, Enterprise AI and Automation to define how Marqeta identifies, governs, and scales AI and automation across the organization, focusing on the internal enterprise platform and employee-facing tooling to drive value across Marqeta’s internal operations and employee experience.

You'll collaboratively design the AI vision for the enterprise, partner to build the governance and adoption frameworks that make it real, and work hands-on to evaluate tools, run pilots, and drive measurable business value. You'll partner closely with business unit leaders, the AI Steering Committee, and BT engineering to ensure AI initiatives are prioritized against the highest-impact problems — and that what gets built is driven to adoption.

This is not a research role or a strategy-only role. The right person is equally comfortable presenting an AI governance framework to the executive team and rolling up their sleeves to configure an agent, evaluate a vendor, or run a pilot with a business unit.

We work Flexible First. This role can be performed remotely in the United States, only in one of our National locations, which you can review here.

The Impact You’ll Have

• Enterprise AI & Automation Strategy
  • Collaboratively define Marqeta's Enterprise AI & automation strategy, including responsible AI principles, governance frameworks, and a multi-quarter adoption roadmap.
  • Partner across the business to identify and prioritize high-value AI and automation use cases for each business unit.
  • Map how work flows across the enterprise to identify where AI can deliver step-change improvements — not just incremental automation, but fundamentally better ways of operating.
  • Define functional and technical requirements (FRD/TRD) for all internal AI/automation platforms, serving as the primary proxy for the BT engineering team.
  • Partner with Architecture Review Boards and AI Steering Committee to ensure all AI platforms and solutions adhere to defined IT standards and governance frameworks. 
    
    
• Demand Management & Prioritization
  • Design and lead the Plan and Commit process with business stakeholders for AI and automation technology requests.
  • Define criteria for prioritizing automation projects and enhancements based on strategic alignment, risk reduction, ROI, and operational impact.
  • Conduct feasibility assessments and cost-benefit analysis for proposed AI initiatives.
  • Prioritize the AI portfolio strategically against business outcomes and executive guidance — and hold the line on priorities to ensure engineering time is focused on the highest-impact work.
  • Maintain a visible backlog of active and pending AI and automation initiatives, giving stakeholders transparency into status, effort, and expected value.
    
    
• IT Product Delivery
  • Oversee QA and UAT processes to ensure systems meet business requirements before deployment.
  • Participate in sprint demos and provide feedback to ensure development meets defined acceptance criteria.
  • Coordinate deployment windows to minimize business disruption and risks.
  • Establish hypercare programs for major system go-lives, including elevated incident SLAs and daily status check-ins during stabilization.
  • Develop Business Systems Product Management competencies across the BT organization to ensure consistent and high-quality product practices across the BT organization.
    
    
• Vendor and Platform Management
  • Evaluate emerging AI technologies and conduct pilots to validate applicability and business value before committing to scale.
  • Lead vendor selection and commercial negotiations in partnership with Procurement and relevant stakeholders, and own ongoing vendor management for all Enterprise AI tooling contracts.
  • Stay current on the rapidly evolving AI landscape — tools, models, and platforms shift constantly, and this role requires continuous learning to ensure Marqeta's strategy reflects what's actually possible today.
    
    
• Rollout, Adoption & Change Management 
  • Own and execute the Enterprise AI rollout plan in partnership with Corporate Communications and Learning and Development, ensuring deployment is phased, governed, and adoption-focused across all business units.
  • Drive change management for AI initiatives — the best solution is worthless if nobody uses it. Build the channels, rituals, and feedback loops that make AI visible and valued across the organization.
  • Establish and manage the internal AI organizational capability—including an AI Champion Network and Community of Practice—to drive centralized knowledge sharing, collective skill development, and accelerated, peer-led adoption across all business units.
  • Define adoption metrics and post-launch stabilization plans for all major AI deployments.
    
    
• Measurement & Governance
  • Design and own the Enterprise AI metrics framework; measure, report, and continuously improve the quantifiable business value delivered by the AI program.
  • Report progress and outcomes to the senior leadership on a regular cadence.
  • Establish governance guardrails that balance innovation velocity with responsible, compliant AI use — particularly important in a regulated fintech environment.

Who You Are

• 7+ years in IT product management, with at least 2 years focused on AI or emerging technology products.
• A genuine understanding of AI capabilities — summarization, classification, generation, agentic workflows — and the ability to translate that into business strategy and concrete use cases.
• Experience building internal-facing enterprise AI systems or platforms; you think in systems and adoption curves, not just features.
• Demonstrated experience managing product backlogs, defects, and enhancement roadmaps for enterprise applications or internal platforms.
• Strong prioritization instincts and the ability to make hard calls about what matters most in a fast-moving, resource-constrained environment. You think in terms of business outcomes, not activity.
• Demonstrated ability to influence without authority — across business units, finance, legal, and security stakeholders.
• Comfort operating hands-on with AI tooling: you don't need to write production code, but you should be able to evaluate a platform, configure an agent, and troubleshoot when something isn't working.
• Experience with no-code/low-code AI platforms (e.g., Workato, or similar) is a strong plus.
• Change management experience — you know how to drive adoption, not just deployment.
• Fintech or regulated industry experience preferred.

Compensation and Benefits

Marqeta is a Flex First company which allows you to choose your best working environment, whether that be from home or at a company office. To support Flex First, we calibrate pay to a competitive value according to working location. Compensation is aligned according to three tiers within the United States:

• National: A baseline tier that applies to most of the geographic territory of the United States.
• Premium: Slightly elevated from the National tier, and oriented toward a narrower set of higher cost-of-living areas, such as Los Angeles CA and Seattle WA
• Premium Plus: A tier for the most expensive working areas, like the San Francisco Bay area and New York City.

Visit this page or consult with a Recruiter to determine which tier would be applicable to you.

When determining salaries, we consider several factors including, but not limited to, skills, prior experience, and work location. The new-hire base salary range for this position is:

• National: $136,100 - $170,100

We also believe in recognizing the contributions of our people. That's why we award annual bonuses to eligible employees, rewarding both individual performance and the success of the entire company.

Along with monetary compensation, Marqeta offers

• Multiple health insurance options
• Flexible time off – take what you need
• Retirement savings program with company contribution and after tax contributions
• Equity in a publicly-traded company and an Employee Stock Purchase Program
• Family-forming benefits, fertility support, and up to 20 weeks of Parental Leave
• Free therapy sessions, financial and professional coaching, and legal advice
• Monthly stipend to support our remote work model
• Annual “development dollars” to support our people growth and development
• Through Flex First, the freedom to live and work wherever you and your family thrive

Phase: film. Filming activities: handheld equipment, filming inside with sound, filming inside without sound, parking on property. Parking: none. Street closures: none.