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Reddit has a flexible workforce! If you happen to live close to one of our physical office locations our doors are open for you to come into the office as often as you'd like. Don't live near one of our offices? No worries: You can apply to work remotely in any country in which we have a physical presence

Reddit has a flexible workforce! If you happen to live close to one of our physical office locations our doors are open for you to come into the office as often as you'd like. Don't live near one of our offices? No worries: You can apply to work remotely in any country in which we have a physical presence.

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

Pinterest’s Platforms TPM team helps the company build a future-proof, scalable, and efficient technology ecosystem by turning platform strategy into clear, executable cross-team programs. We partner closely with engineering leadership across Quality Engineering, Client Foundations, Ads Foundations, and Core Infrastructure to drive modernization, improve reliability and software quality, and accelerate delivery across Pinterest’s most important technical foundations. 

What you’ll do:

• 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.
• Lead a portfolio of complex, cross-functional technical programs across Quality Engineering, Client Foundations, and Ads & Core Infrastructure.
• Partner with engineering leaders to define program outcomes, establish execution plans, manage dependencies and risks, and drive delivery against multi-quarter goals.
• Build and run an integrated operating cadence across the portfolio, including roadmap planning, milestones, decision forums, status updates, and escalation paths.
• Drive programs that improve software quality, engineering hygiene, release confidence, reliability, and developer productivity across foundational platform investments. This includes areas such as code coverage, bug and incident SLAs, release quality, and platform modernization. 
• Lead technical program management for client foundations modernization across iOS, Android, and Web, helping improve testability, maintainability, developer workflows, and safe release practices. 
• Drive foundational programs across Ads and Core Infrastructure, including modernization, reliability improvements, platform simplification, and better execution across shared infrastructure and APIs. The related portfolio includes initiatives such as search/discovery infrastructure modernization, ingestion and catalog unification, media pipelines, and developer productivity improvements. 
• Manage and develop a small TPM team while remaining hands-on with the most strategic or highest-risk programs. 

What we’re looking for:

• 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.
• Significant experience leading large, cross-team technical programs in ambiguous environments with complex technical and organizational dependencies. 
• Experience translating strategy and organizational goals into a clear multi-quarter roadmap with milestones, dependencies, and measurable outcomes. 
• Strong execution discipline, including risk management, governance, dependency tracking, and driving accountability across multiple teams. 
• Strong communication and stakeholder management skills, including the ability to frame tradeoffs, drive alignment, and communicate crisply with senior technical leaders. 
• Technical fluency across platform and infrastructure domains such as distributed systems, APIs, reliability/observability, developer tooling, client platforms, or data/infrastructure systems. 
• Experience driving modernization, quality, or platform transformation efforts that improve reliability, speed, productivity, or software quality. 
• People leadership experience, including coaching, setting direction, and growing team capability over time.
• Bachelor’s degree in Computer Science, Engineering, 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-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 Embedding Machine Learning Platform team is at the forefront of building highly expressive machine learning models that power Reddit’s recommendation systems. We go beyond standard retrieval and ranking architectures, leveraging modern deep learning approaches and scalable model designs to enhance personalization across Reddit’s ecosystem. Our work impacts content discovery, user engagement, and platform growth at a massive scale.

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 

Our Sales team empowers brands to achieve repeatable success on Reddit by helping them reach, resonate, and authentically engage with our users. 

This is a rare opportunity to lead frontier machine learning work at Pinterest on one of the company’s highest-leverage surfaces: Ads ranking and auctions. In this Sr. Staff MLE role, the right candidate will define the technical strategy for next-generation ranking systems, applying AI- and agentic-driven development loops to accelerate modeling innovation, experimentation, and automation at massive scale. They’ll partner closely with senior leaders across product, applied science, and infrastructure to shape outcomes that directly impact advertiser performance, Pinner experience, and company revenue, while also setting modeling standards, influencing architecture across the ads ML stack, and mentoring top-tier technical talent. For someone excited by deep technical ownership, broad organizational influence, and the chance to build ambitious systems using rich multimodal data and a modern ML platform, this is an exceptionally high-impact leadership opportunity.

What you’ll do:

• Lead the technical strategy for advancing ads ranking and bidding models using large scale ML and agentic development loops.
• Design, build and launch production models and signals that improve ads quality, relevance and long term value.
• Build and refine training, evaluation and feedback pipelines that continuously learn from online behavior, experimentation results and advertiser outcomes.
• Use AI to accelerate analysis and iteration while applying judgment and verification to ensure correctness and quality.
• Own the technical strategy for advancing ads ranking models, with a focus on AI/agentic development loops and automation.
• Build and refine agentic training and evaluation pipelines that continuously learn from feedback signals, offline and production behavior.
• Partner closely with product, applied science, and infra teams to translate business objectives into modeling roadmaps and success metrics.
• Ensure models meet the bar for reliability, safety, fairness, and compliance with privacy and policy constraints.
• Drive technical design reviews, set modeling best practices, and make high-impact architectural decisions across the ads ML stack.
• Mentor and uplevel other MLEs and scientists in advanced modeling techniques, tooling, and agentic workflows.
• Lead frontier work applying AI- and agentic-driven development loops to one of Pinterest’s highest-leverage systems: ads ranking and auctions.
• Shape product outcomes at massive scale, with direct impact on advertiser value, Pinner experience, and company revenue.
• Partner with senior leaders across product, research, and infra, gaining broad visibility and influence on ads strategy.
• Grow as a technical leader by setting modeling standards, mentoring senior talent, and driving multi-quarter roadmaps across teams.
• Access Pinterest’s rich multimodal data and modern ML/infra stack to experiment quickly and ship ambitious ideas.

What we’re looking for:

• Minimum of 8 years of experience in applied machine learning including large scale ranking or ads systems.
• Deep expertise in modern recommendation and ranking techniques such as gradient boosted trees and deep learning based ranking models.
• Experience building and operating ML systems at scale in languages such as Python or C++ and with modern data and experimentation platforms.
• Demonstrated ability to use AI to improve speed and quality in your day to day workflow for modeling, experimentation and analysis.
• Experience leading cross functional initiatives and influencing senior partners across product, engineering and research.
• Bachelor’s/Master’s degree in a relevant field such as computer science or statistics, or equivalent experience.
• High integrity and ownership in how you handle data, use AI responsibly 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.
• his role will need to be in the office for in person collaboration 1–2 times/month and therefore needs to be in a commutable distance from one of the following offices: Seattle, San Francisco, Palo Alto or Los Angeles.

#LI-HYBRID
#LI-AK7

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

In this role, you'll be a pivotal individual contributor, shaping how Pinterest's Ads organization leverages data for strategic decision-making and operational excellence. You'll serve as a central expert, empowering our product, engineering, and business teams with accessible, reliable data and actionable insights.

What you'll do:

• Drive Ads Product Strategy across Pinterest: Leverage your strong business and product acumen to proactively identify opportunities, generate insights, and drive data-driven decision-making aligned with the organization's strategic objectives. You'll play a crucial role in ensuring data insights inform downstream ML applications and broader product improvements.
• Translate Complex Business Needs into Data Solutions: Partner closely with product, engineering, and business stakeholders to deeply understand their challenges. You will expertly translate ambiguous business questions into structured analytical problems, providing the "why" and "how" behind performance and identifying new opportunities.
• Ensure Data Trustworthiness and Quality: Establish and uphold high standards for data integrity, consistency, and reliability in all analytical outputs. You will be responsible for ensuring consistently trustworthy and high-quality analyses that directly influence strategic and operational decisions.
• Be a Strategic Thought Partner: Bring proactive and influential product leadership into areas where data-driven decisions and insights are essential for success. This involves acting as a key advisor to Product Managers, Engineering leaders, and other cross-functional partners, anticipating future product needs, and identifying the most impactful questions that data can answer. You will be responsible for defining the analytical roadmap, translating high-level business problems into specific, actionable data initiatives, and guiding the team to execute them effectively to drive significant product and business outcomes.
• Connect Financial & Product Performance: Serve as a key liaison with BizOps, Finance, and other Strategy teams, expertly connecting revenue performance data with product actions and performance metrics to provide a holistic understanding of our business impact and growth drivers.
• Communicate for Impact: Articulate complex data findings, strategic insights, and recommendations clearly and concisely to both technical and non-technical senior stakeholders, influencing business strategy and outcomes.
• Elevate Data Science Practices: Act as a subject matter expert for the broader Data Science team, sharing best practices in data analysis, strategic thinking, and effective communication. You will contribute to a culture of continuous learning and data excellence across the organization.

What we're looking for:

• Bachelor’s/Master’s degree in a quantitative field such as Data Science, Statistics, Economics, Business Analytics, or equivalent practical experience.
• 8+ years of combined post-graduate academic and industry experience applying advanced analytical methods to solve complex, real-world business problems on large-scale data, preferably within a fast-paced tech environment.
• Exceptional business acumen and product sense, with a proven ability to translate strategic questions into analytical frameworks and actionable recommendations.
• Understanding of the ads ecosystem, monetization mechanics, and/or real-time bidding, with a strong interest in the financial aspects of these domains.
• Expertise in data democratization principles, including experience designing and maintaining foundational datasets and building comprehensive business intelligence solutions.
• Strong fundamentals in statistics and experimentation, with the ability to interpret and apply insights from various causal inference techniques.
• Proven ability to influence cross-functional partners and senior leadership through compelling data narratives and strategic insights.
• Proficiency in SQL, Python, and experience with data visualization tools (e.g., Tableau, Looker) is required.

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 methodical and thoughtful Staff Product Designer to join the Design Innovation team. You’ll help evolve our product design language and craft intuitive, coherent, and delightful experiences across surfaces. You’ll collaborate closely with product, engineering, research, and data science partners to shape end-to-end experiences that feel uniquely Pinterest, raise the quality bar, and explore new opportunities for innovation, including AI-powered experiences. You have a knack for visual detail as much as holistic systems thinking. You’re a problem solver whose designs reflect a deep understanding of user needs and business context. You’re comfortable working in an iterative, experimental environment and using AI tools to accelerate your workflow while maintaining strong critical thinking, judgment, and ownership of outcomes.

What you’ll do:

• Design product experiences—systematically, interactively, and visually—with a high bar for craft and consistency across the Pinterest product ecosystem.
• Partner with Design Innovation teammates and cross-functional partners to evolve our product design language and bring it to life in key product surfaces and features.
• Uphold and Elevate Craft: Conduct quality audits, review flows and handoffs, and directly contribute hands-on design when needed—always advocating for the highest standards. 
• Prototype & Technologize: Rapidly visualize, prototype, validate new ideas; translate abstract solutions into practical, scalable patterns using Figma, code, AI, or whatever is needed to inspire clarity/adoption.
• Collaborate closely with engineering, product management, and research to develop impactful, user-centric, and data-informed solutions; work with engineers throughout implementation to ensure high-quality execution.
• Incorporate insights from qualitative and quantitative research, experiments, and marketplace/AI trends to refine design directions and identify new opportunities for innovation.
• Contribute to design reviews and critique, helping to uphold and inspire a high level of design execution and inclusive, accessible experiences across the team.
• Mentor & Scale Impact: Inspire and guide other designers in craft, systemic thinking, and best practices through critique, guidance, and sharing your expertise across teams.
• Communicate & Influence: Clearly articulate your design thinking, rationale, and vision—presenting work to teams, leaders, and executives, and rallying consensus.

What we’re looking for:

• 8+ years of experience in product design, with strong visual and interaction design skills demonstrated in a portfolio of shipped or in-progress work.
• Track record in staff/principal-level roles, influencing horizontally, upholding design craft quality, and partnering cross-functionally—ideally in large-scale consumer or platform environments. 
• Expert-level motion and visual design skills, with a deep understanding of principles and their impact on usability, comprehension, and overall experience quality — using animation and transitions to enhance clarity, convey emotion, and drive user engagement.
• Ability to design within and extend a design system, balancing consistency with thoughtful innovation across surfaces and platforms.
• Design technologist mindset: Comfortable experimenting with Figma prototypes, AI, and (optionally) front-end code; curious and opinionated about technical feasibility, accessibility, and how we can streamline design workflows and processes through systems and tools. 
• Strong product thinking and systems mindset: you can connect craft decisions to user outcomes, product strategy, and measurable impact.
• Excellent communication and storytelling skills, with the ability to clearly articulate design decisions, tradeoffs, synthesize ambiguity into actionable design problems and unite teams through clarity, documentation, and collaboration. 
• High attention to detail and a sense of ownership over the quality and cohesion of the product experience, including accessibility and inclusive design considerations.
• Collaborative, low-ego working style with a growth mindset; passion for ongoing learning, experimentation, and mentoring others, giving and receiving feedback & contributing to team culture.
• Bachelor’s degree in design, a related field or equivalent experience.
• Bonus Points For
  • Experience leading platform-wide or multi-product design system initiatives.
  • Familiarity with personalization, large consumer apps, or rapid scale environments.
  • Contributions to public design systems, open-source libraries, or industry talks/writing.
  • Join us to shape the platform and patterns that power inspiration for millions—raising the bar for design quality, system integrity, and Pinterest’s positive potential.

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-JD3

We work Flexible First. This role can be performed remotely anywhere within the U.S. or from our local Oakland office. We'd love for you to join us!

The Impact You'll Have

• Serve as the financial partner to Sales on live credit deals — modeling the full economic stack: interchange, finance charges, fees, rewards costs, cost of funds, expected losses, network fees, and sponsor bank revenue share
• Build deal-level models that capture the full life-of-portfolio economics — not just first-year interchange, but how the deal performs as the portfolio matures, revolve rates stabilize, and losses curve in
• Partner with Credit Risk and Capital Markets teams to make sure every deal model reflects realistic loss assumptions, funding costs, and capital efficiency considerations
• Partner with the credit function to build the foundational models for credit product including monthly projections of volumes, receivables, payment rates and loss curves with clearly defined assumptions for each metric and tied to actual industry and internal data, including  scenario analyses that support acquiring both new bank partnerships (sponsor banks) and capital providers (warehouse facilities, return-on-capital projections, portfolio performance scenarios)
• Model multi-party revenue share structures across program manager, sponsor bank, processor, and network — and stress-test how the splits behave at different volume and performance tiers
• Lead deal review meetings on credit deals with sales leadership, translating complex credit economics into clear, actionable recommendations that help close business without compromising margin
• Build and continuously sharpen the credit-specific deal desk toolkit — pricing benchmarks, loss-curve templates, capital-cost calculators, vintage performance models, and the dashboards that bring them together
• Help Sales speak credibly about credit economics with prospects — from sophisticated fintech buyers building their second card program, to commercial customers thinking about a credit product for the first time
• Stay close to credit product evolution, regulatory developments (Reg Z, CFPB, state usury), and competitive dynamics in the credit issuing space — and bring that intelligence into every deal
• Collaborate closely with the rest of the deal desk team across debit, prepaid, and other product lines — flexing in on those deals when the team needs the bandwidth, sharing knowledge, covering each other on big deals, and raising the bar together
• Experiment with AI to make credit deal modeling faster and better — whether that's automating portfolio projection models, accelerating scenario analysis, or building internal tools that scale your judgment across more deals

Who You Are

• Bachelor's degree in a quantitative field — Finance, Accounting, Economics, Engineering, Math, or any discipline that built your numerical fluency
• 6-8 years of experience in financial planning and analysis, deal desk, pricing, credit product finance, or a related GTM finance function — with meaningful exposure to credit card or lending economics
• Comfortable across the credit economics stack. You understand how interchange, finance charges, rewards funding, loss provisioning, and cost of funds combine into deal-level economics. Vintage curves, charge-off rates, and revolve behavior aren't foreign concepts
• An exceptional partner and team player. You build trust quickly with Sales, push back without friction, jump in when teammates are slammed, and treat wins as collective rather than individual. You're the person other teams want in the room when a credit deal gets complicated
• A genuinely strong financial mind. You're fluent in modeling, comfortable with ambiguity in the numbers, and you know enough about credit risk modeling and capital markets concepts to be a credible partner to those teams
• Thrive under pressure. Credit deals don't wait, and they don't simplify. You're energized by a fast pace, multiple priorities, and the occasional fire drill — and you deliver accurate work even when the clock is loud
• AI-curious and hungry to experiment. You already use AI tools in your day-to-day work, you have opinions about what's overhyped and what's actually useful, and you see AI as leverage to do more — not a threat or a checkbox
• Excellent written and verbal communicator — you can take a messy credit deal structure with five moving parts and turn it into a one-slide answer for an executive
• Proactive, with a bias toward improving processes rather than tolerating them
• Advanced Excel; comfortable across Google Workspace

Nice-To-Haves

• Direct experience pricing or modeling credit card programs — issuer side strongly preferred
• Background at a credit card issuer, fintech with a credit product, BIN sponsor bank, or program manager
• Familiarity with BIN sponsorship economics and direct bank partnership structures
• Experience building financial models used to pitch sponsor banks, capital providers, or warehouse lenders — including portfolio projections, return-on-capital analyses, and scenario modeling
• Working knowledge of credit risk modeling concepts: expected loss, vintage analysis, behavioral scoring
• Working knowledge of capital markets concepts relevant to credit card receivables: warehouse facilities, securitization, cost of funds
• Familiarity with credit card regulatory framework (Reg Z, CFPB requirements, state usury considerations)
• SQL / data analytics experience, especially Snowflake
• Hands-on experience building workflows or tools with AI (custom GPTs, agents, automations, prompt engineering for finance use cases)

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: $128,000 - $160,000
• Premium: $137,900 - $172,400
• Premium Plus: $147,800 - $184,700

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

Pinterest is looking for a International Accountant who is passionate about both international accounting and operational efficiency to join our Global Accounting team. This role will oversee the financial integrity of our international subsidiaries while championing "automation-first" initiatives and is ideal for someone who has mastered the fundamentals of operational accounting and is ready to apply that knowledge in a tech-forward environment. You will have the autonomy to identify efficiencies and the support to implement AI-enabled solutions, making this a high-impact role. 

What you'll do:

• Lead full-cycle accounting for key international subsidiaries, including multi-currency journal entries, intercompany settlements and FX impact analysis.
• Identify "automation-first" opportunities within the international accounting operations process and collaborate with Finance Transformation teams to deploy AI agents and automated workflows to reduce manual procedures.
• Partner with local service providers and internal tax/legal teams to oversee statutory filings, local compliance and local GAAP to US GAAP reconciliations.
• Act as a strategic consultant to FP&A and Treasury, providing insights into international OpEx trends.
• Ensure compliance with accounting policies, SOX controls and relevant regulatory requirements for assigned areas.
• Support external audits by providing accurate and timely information. 
• Perform special projects, as needed, to support our rapid growth.

What we’re looking for:

• Bachelor’s degree in Accounting, a related field or equivalent experience.
• Minimum of 5 years of progressive accounting experience in a public accounting and/or corporate environment, preferably at a technology or high-growth company operating in a SOX environment.
• Big 4 accounting firm (or similar) experience.
• CPA is highly preferred.
• A "builder" mindset with a proven ability to strategically leverage generative AI and automation tools to enhance operational effectiveness and solve complex accounting challenges.
• Experience with ERP systems (preferably Oracle) and proficiency in working with large datasets in Excel.
• Experience supporting audits (external and/or internal), including the ability to respond to auditor requests with organized, well-supported 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.
• This role will need to be in the office for in-person collaboration 1 to 2 times a year, and therefore can be situated anywhere in the country.

#LI-REMOTE

#LI-ARMM78

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 a QA 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:

• Degree in computer science, engineering, or a related field or equivalent experience.
• 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

Pinterest's Finance team is looking for a Senior Finance Manager to lead our North America Enterprise Business Partner function. This is a high-impact, high-visibility role at the center of Pinterest's largest and most strategically important revenue business. You will serve as the CFO-level thought partner to the North America Enterprise Sales leadership team — owning the full P&L and translating complex financial data into the strategic insights that drive Pinterest's revenue growth. You'll lead a team of finance professionals and work directly with senior Sales, Finance, and cross-functional leaders to shape how Pinterest invests in and scales its North America Enterprise business.

This role sits within the Sales Finance organization, whose mandate is to optimize value creation for advertisers and Pinterest through disciplined business leadership and seamless financial execution.

What you'll do:

• Serve as the primary finance thought partner and mini-CFO to North America Enterprise Sales VPs, owning full P&L stewardship across revenue, OpEx, and headcount
• Evolve the business partner model toward a regional CFO operating model — moving beyond revenue forecasting to drive comprehensive financial accountability and strategic decision-making across the NA Enterprise business
• Lead weekly, monthly, quarterly, and annual revenue reporting and planning; develop accurate, insights-driven forecasts with clear narratives for senior executive audiences including the CRO, CFO, and NA Enterprise Sales VPs
• Proactively identify revenue opportunities, risks, and cost efficiencies — delivering actionable recommendations that fuel sustainable NA Enterprise growth
• Partner with Sales and Sales Strategy & Operations teams on quota setting, investment decisions, headcount planning, and annual planning cycles
• Build and maintain robust reporting infrastructure to monitor business health metrics, revenue pacing, and KPIs that scale with the evolving needs of the business
• Champion an AI-first approach to Sales Finance partnership — embedding AI tools into forecasting, deal health intelligence, and revenue decision-making to raise the bar for how Finance drives impact
• Lead and develop a team of 3 finance professionals, fostering a high-performance, psychologically safe environment with a focus on coaching, feedback, and career development
• Build trusted, influential relationships with XFN partners across Sales Strategy & Operations, Corporate Finance, and Central FP&A, and represent the NA Enterprise perspective in company-wide planning and Earnings-related processes

What we're looking for:

• Minimum of 8 years of experience in sales finance, corporate finance, investment banking, consulting, or a related quantitative field within a fast-paced technology, digital advertising, or media environment; 3 years of directly managing people
• Proven track record of full P&L ownership — driving revenue, OpEx, and headcount decisions for a significant business or region
• Deep expertise in financial modeling, strategic planning, and analytics, with the ability to translate sales strategy into actionable financial frameworks and recommendations
• Demonstrated AI fluency — experience leveraging AI tools to accelerate financial analysis and forecasting workflows, with a rigorous approach to validating outputs and maintaining critical ownership of final recommendations
• Demonstrated ability to autonomously develop insights and present to senior executive audiences (CRO, CFO, VP-level Sales) with clarity, confidence, and influence
• Strong stakeholder management skills — ability to build credibility, navigate competing priorities, and drive alignment across a broad set of senior Sales and XFN partners
• Experience managing and developing high-performing finance teams, with a coaching mindset and commitment to inclusive talent development
• Exceptional spreadsheet and financial modeling skills (Excel and/or Google Sheets); SQL experience a plus
• Excellent written and verbal communication skills, including executive-level presentation development (Google Slides)
• Entrepreneurial and intellectually curious — comfortable operating in ambiguity, challenging the status quo, and building new processes from the ground up
• Bachelor’s degree in a relevant field such as Finance, Accounting, Business Administration, Economics or equivalent experience 

• Relocation Statement: Insert whether this job is eligible for relocation assistance. 
• 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 once a week and therefore needs to be in a commutable distance from our New York, San Francisco, Los Angeles, or Chicago office. 

#LI-ONSITE

#LI-AAR

Pinterest's Growth org reaches hundreds of millions of users by helping them discover Pinterest from across the web — through search engines, generative engines, and other emerging surfaces. We're hiring a Staff Software Engineer to be the product engineering anchor across two closely partnered teams: our SEO Product team, which owns Pinterest's durable organic discovery channels, and a new exploratory team focused on AI-first growth products.

This is a hands-on technical role for a strong product engineer who wants to architect and ship AI-powered growth experiences at scale, partnering closely with ML teams to take capabilities from prototype to production. You'll set the technical bar through your own code and architecture — not by stepping into management.

What you'll do:

• Architect and build the production systems that AI/ML capabilities ship through across two Growth teams: APIs, data pipelines, content systems, evaluation and monitoring infrastructure.
• Partner with Pinterest's centralized ML org and applied research teams to productize AI/ML capabilities at scale — defining service interfaces, building eval pipelines, and managing latency, cost, and quality tradeoffs.
• Design and build the cross-team technical foundations that serve both teams: AI evaluation systems, content quality pipelines, agent skill platform, knowledge brain.
• Set the technical bar across two teams operating an AI-native engineering model: AI in every part of the SDLC, eval-driven shipping, prototype-first culture.
• Mentor engineers across both teams as a peer Staff IC, deepening their technical work without managing them.

What we're looking for:

• 8+ years of product / systems engineering experience, with a strong track record shipping production systems at scale that touch real users.
• Cross-team technical leadership: you've been the architectural anchor on multi-team initiatives, set direction others build on, and mentored through code.
• Working knowledge of common ML/AI techniques (supervised learning, embeddings, ranking, LLMs, evaluation methodology) — enough to scope ML projects, reason about ML system design, and collaborate effectively with MLEs.
• Strong track record partnering with ML/research teams to ship AI-powered features in production.
• Demonstrated AI-augmented engineering practice — fluent use of Cursor / Claude Code / agentic tools, with a clear approach to validating AI-generated work.
• Upsell, influence the scope of the team (e.g. cross team collaboration on potential signal sharing and other opportunities )
• Bachelor’s/Master’s degree in a relevant field such as Computer Science, or equivalent experience.
• Nice to have
  • Direct hands-on experience shipping applied ML, LLM/VLM, or agentic systems in production
  • Domain experience in search, discovery, recommendations, ranking, growth, or SEO
  • Experience as the product-engineering counterpart on an AI-first product launch from prototype to scale

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 1x per quarter and therefore needs to be in a commutable distance from one of the following offices Palo Alto, San Francisco, Los Angeles, or Seattle.

#LI-CL5

As a Performance Solutions Lead at tvScientific by Pinterest, you'll be the go-to expert for all things account performance, optimization and experimentation. You'll guide both internal teams and external partners through advanced performance strategy, help troubleshoot tricky campaign challenges, and bring bold, data-backed ideas to life via testing and experimentation. This role will have broad recommendation authority on performance strategy within their book, is expected to act autonomously with limited day-to-day oversight, and will be accountable for outcomes while aligning to broader tvScientific + Pinterest goals and guardrails.

This is a role for someone who loves solving complex problems, thrives in a collaborative environment, and knows how to turn insights into impact.

What you'll do:

• Lead the performance strategy for a portfolio of global accounts across multiple sectors (app, brand, affiliate, and agency).
• Leverage AI strategically to expedite performance analysis and experimentation frameworks,
• Take end-to-end ownership for the quality and impact of performance work that uses AI, ensuring insights are accurate, explainable to customers and partners, and aligned with Pinterest’s values and AI expectations, even when AI assisted along the way.
• Drive technical product adoption, optimization, and performance-based revenue growth in partnership with Sales and Customer Success.Build and iterate performance playbooks and best practices based on KPI trends, tests, and market feedback—codifying what works into repeatable guidance, tools, and templates.Serve as the go-to expert for complex performance questions and escalations: diagnose issues, propose solutions, and partner cross-functionally (Ad Ops, Measurement, Product, Supply) to unlock incremental performance, while mentoring others on performance strategy skills.
• Support reporting needs, weekly performance reviews, and quarterly business reviews (QBRs).
• Maintain and communicate a performance dashboard to track results across accounts.

What we’re looking for:

• 8+ years of experience in performance marketing or a strategic role in digital media, CTV experience is a major plus.
• A strong track record of owning optimization strategy and navigating complex performance challenges.
• Comfortable leading discussions with all levels internal and with our customers and partners. 
• Proven capability in utilizing AI to accelerate performance diagnostics, including cross-account pattern recognition, and experiment ideation
• Skilled in digging into data and turning findings into actionable strategies.
• Clear communicator who can make technical concepts easy to understand and relevant to business outcomes.
• Experience working cross-functionally with both technical and commercial teams.
• Proven ability to support and scale accounts with data-driven insights.
• Comfortable managing multiple priorities and stakeholders.
• Proactive, detail-oriented, and excited to thrive in a fast-moving, evolving space.
• Bachelor’s degree in a relevant field such as Business or Marketing, or equivalent experience.

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 a year 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-LP1

We’re seeking an AI Policy Specialist, Content S&P to support the development and implementation of thoughtful generative AI guidelines for content and product experiences. In this role, you’ll collaborate with an exceptional cross-functional team to uphold content quality, reduce risk and support a safe, inspiring experience for people on Pinterest, impacting millions of dreamers on one of the world’s largest user-generated content platforms. Join us in creating a more inspiring and inclusive internet, one Pin at a time.

What you’ll do:

• Define, draft, align, and implement guidelines for generative AI content and new and existing AI-driven products—to ensure we balance user and business needs within an evolving regulatory and competitive environment.
• Support the review of generative AI use cases, document policy decisions and help maintain clear guidance for internal partners.
• Track policy questions, escalations and trends to identify opportunities to improve guidance and workflows.
• Work closely with product and engineering partners to translate emerging capabilities and risks into guidelines and scalable workflows. 
• Assess generative AI models and systems to ensure they meet the bar for content quality and appropriateness that uphold Pinterest’s values. 
• Create, measure, and communicate our progress against Editorial Standards & Practices, confidently translating strategy and insights for executive audiences and company-wide forums.
• Use AI to synthesize information from policy inputs, product updates and enforcement trends so teams can make decisions faster.

What we’re looking for:

• 3+ years of experience in content policy, content standards, trust and safety or a related field.
• Bachelor’s degree in a relevant field such as Public Policy, Marketing or equivalent experience.
• Ability to support the development and implementation of generative AI content guidelines within defined workstreams, with guidance from senior leaders and close cross-functional partnership.
• Familiarity with industry trends and legal developments related to generative AI and LLMs to identify risks, evaluate tradeoffs and support safe, thoughtful guideline development.
• Understanding of how generative AI content and product guidelines support a safe and innovative platform for users with continuous evaluation and iteration. 
• Skill in critically evaluating and verifying AI-assisted work for accuracy, completeness and bias before sharing recommendations.
• Strong communication skills, with the ability to articulate strategies and plans clearly and persuasively to executive audiences and the broader company, tailoring messaging for diverse stakeholders.
• Experience in building trusted cross-functional relationships with technical teams, Policy, Legal and other partners to support shared priorities and effective execution.
• High integrity and ownership in using AI, including protecting sensitive information, avoiding over-reliance and remaining accountable for the final work product.

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-JH4

Within Pinterest, the Pinterest Labs organization focuses on applied ML research and development. Labs focuses on a broad variety of AI/ML initiatives, such as core computer vision, multimodal representation learning, heterogeneous graph neural networks, generative modeling, recommender systems, etc. This is the group that develops foundation ML models that fully leverage the tens of billions of Pins and the associated knowledge graph to improve the core product.

We are currently hiring for the visual modeling team in Labs, which focuses on developing Pinterest Canvas. Canvas is a foundation text-to-image model developed internally for helping various visualization, inpainting, and outpainting products. In this role, you’ll get to work with Pinterest’s rich visual-text dataset to build large-scale generative models which are continuously being shipped to production to power visualization features. The core Canvas pod is a small group (~6 engineers along with a product prototyping team) inside of Labs, allowing for deep collaboration. For example, engineers working on the Canvas project also participate in the development of our core multimodal text & image embeddings, as these are in turn used to condition the model in unique ways.

What you’ll do:

• Prototype new model architectures for Pinterest Canvas, our internal text-to-image generative model. We’re looking for hands-on experience working with diffusion text-to-image models and independent model implementation skills.
• 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 diffusion models.
• 5+ 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-REMOTE
#LI-AK7

Pinterest is looking for a Senior Communications Lead, Internal Communications to join our Communications team. In this role, you’ll lead internal communications strategy for the global sales organization, helping senior leaders communicate clearly and thoughtfully with employees across priorities, business changes and key organizational moments. This is a high-impact opportunity to partner directly with some of Pinterest’s most senior sales leaders, including the Chief Business Officer, while shaping communications across geographies and helping employees stay informed, aligned and connected to the business.

This role reports directly to the Executive Communications Leader.

What you’ll do:

• Lead internal communications strategy for Pinterest’s global sales organization, developing communications plans and messaging that support business priorities, organizational changes and leadership objectives.
• Counsel senior leaders on internal communications approach, helping shape clear, thoughtful narratives for employee audiences across high-visibility and sensitive moments.
• Draft and edit a range of internal communications materials including leadership updates, presentations, talking points, all-hands content, AMA materials and messages related to change or business milestones.
• Partner closely with leaders and cross-functional stakeholders across Communications, HR, Marketing, Chiefs of Staff and the business to align messaging, timing and execution.
• Build scalable processes, planning rhythms and communications frameworks that improve consistency, quality and speed across internal communications for the organization.
• Adapt communications strategies for global audiences, balancing consistency across the organization with regional nuance and relevance across geographies.
• Use AI to accelerate drafting, synthesis, planning and iteration across communications outputs, while applying judgment and verification to ensure quality, accuracy and audience fit.

What we’re looking for:

• Bachelors or Masters degree in a relevant field such as communications, business, English or organizational leadership.
• Experience working directly with C-suite executives or other senior business leaders on internal communications, including advising on messaging, narrative development, tone and audience approach.
• Experience leading internal communications strategies and programs that support business priorities, organizational changes and leadership objectives.
• Experience leading communications for high-visibility internal events and moments such as all-hands, AMAs, leadership updates, reorganizations or culture initiatives.
• Demonstrated ability to use AI to improve speed and quality in day-to-day communications or operational workflows, with a clear approach to validating accuracy, tone, confidentiality and final quality.
• Strong track record of critical evaluation and ownership of AI-assisted work, including protecting sensitive information, avoiding over-reliance on AI and remaining accountable for final decisions and deliverables.

In-Office Requirement Statement

• There is no set in-office requirement for the role, however based near our NYC Pinterest office is preferred as candidates may be expected to attend in-person meetings or key moments when senior leaders or stakeholders are in town. Candidate but also be open to occasional international travel due to the global nature of the role.
•  

Relocation Statement:

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

#LI-REMOTE

#LI-PW1

We’re looking for a creative and driven Product Designer II to join our Pinner Actionability team and help shape the future of how people realize inspiration and plan with Pinterest. In this role, you’ll focus on transforming boards; one of our core features where people visualize, evaluate, and dream. You’ll have the chance to push boundaries, working hands-on with product and engineering partners to launch fast experiments, build bold new ideas, and continually refine the user experience. 

What you’ll do:

• Design and ship UI for login and sign up and conversion upsells flows, supporting the overall Pinner activation journey.
• Collaborate closely with product managers, engineers, and data partners to define and execute on roadmaps for the Pinner Conversion and Identity teams.
• Be comfortable in a fast paced, iterative, experimental, and data driven environment
• Work with and manage feedback from multiple stakeholders across Growth and Core teams, as well as engineering, product and design leadership
• Uphold and inspire a high level of design execution throughout the team

What we’re looking for:

• 2+ years of experience designing digital products.
• Experience designing for complex products and solving for both user needs and business metrics, driving impact through both 0 to 1 product development and optimizations.
• A portfolio demonstrating strong product and visual design skills, including solid understanding of layout, typography, color, imagery, and other design fundamentals.
• Has a learner and builder mindset: Able to quickly onboard to emerging AI tools and implement them appropriately in the full product development process with a focus on decision quality, craft and efficiency.
• Expertise in applying systems, frameworks, and standards, including using AI-powered tools and workflows to help scale your approach and facilitates productive cross-functional collaboration.
• Sense of ownership, attention to detail, and a track record of shipping high-quality digital products.
• Ability to think holistically and create scalable systems for experimentation and iteration, including designing for mobile and desktop platforms.
• Excellent product thinking, UX strategy, and problem-solving skills.
• Great communications skills with the ability to articulate your design decisions clearly and bring cross-functional partners along for the journey.
• Comfortable balancing speed and quality in a fast-paced, data-driven, and iterative environment.
• High level of self-awareness with a growth mindset that is focused on impact.
• 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 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

The PinTech team at Pinterest supports partnerships across a diverse set of companies to provide our Pinners with world class experiences bringing them the inspiration to create a life they love. As a Partner / Technical Support Engineer, you’ll work with a variety of Tier 1 clients across Pinterest products (Enterprise, Adtech, Shopping, Growth, etc.) to define and build scalable partner solutions, helping hundreds of millions of people find ideas and inspiration. You will be the evangelist of Pinterest’s technology stack, both internationally and domestically. 

What you’ll do:

• Serve as a subject matter expert on the Pinterest API and Pinterest partner integrations
• Become an expert in Pinterest’s business products and how to best deploy them and troubleshoot them
• Lead the definition, development, and broad-scale adoption of Pinterest Integration products with key strategic partners 
• Own technical relationships with Tier 1 partners and Enterprise Advertisers, providing bespoke support and driving complex technical projects end-to-end
• Provide proactive and reactive technical support through dedicated and scaled channels, ensuring a high level of customer satisfaction
• Provide on-call support coverage via on-call rotation schedule for Pinterest business solutions such as Measurement, Delivery etc.
• Lead complex engineering projects end-to-end — including new API launches, large-scale integration builds, and high-impact bug fixes — partnering with Engineering on design and delivery
• Develop and maintain performance and quality monitoring systems to ensure partner integrations are highly available
• Collaborate closely with Product Management and Engineering teams to develop and  tailor products according to specific partner requirements
• Lead complex engineering projects end-to-end — including new API launches, large-scale integration builds, and high-impact bug fixes — partnering with Engineering on design and delivery
• Define the tools, processes, and documentation frameworks the team operates within
• Lead cross-functional initiatives that shape Pinterest's broader developer ecosystem, and mentor junior team members on technical and partner-facing work
• Lead AI-driven solutions and automations across the team, identifying opportunities and shipping systems that scale support and ops

What we’re looking for:

• 4+ years of Support/Solution/Partner Engineering experience or integration experience; ideally at a large consumer tech platform
• Experience leading technical partner/client calls 
• Experience integrating external APIs at scale using SDK's or writing custom client code
• Ability to read and write complex scripts for data manipulation; must be familiar with a programming language such as Python or a shell scripting language
• Ability to leverage AI to enhance work quality and decisions, and champion AI experimentation within the team
• Bachelor’s degree in a relevant field, or equivalent experience

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-PW1

We’re looking for a Staff Software Engineer to help build the next generation of Pinterest’s big data storage platform. You’ll work on some of the most exciting big data open source technologies — especially Apache Iceberg — at exabyte scale to power the data infrastructure that helps Pinners discover and do what they love.

As a Staff Software Engineer, you’ll serve as a technical leader and hands-on contributor, designing and building highly scalable storage systems for Pinterest’s data lake. You’ll partner closely with teams across data, ML/AI, analytics, and infrastructure to evolve our storage and metadata management capabilities, enabling efficient, reliable, and governed access to data at massive scale.

What you’ll do:

• Design, implement, and optimize Pinterest’s exabyte-scale data lake storage platform.
• Lead complex technical projects and initiatives for data lake storage and metadata management, driving them from architecture through execution.
• Collaborate with stakeholders and partner teams across the organization to design storage and metadata layer technologies that unlock big data and ML/AI innovations.
• Build storage capabilities that efficiently support large-scale ML/AI workloads, including high-throughput data access, schema evolution, and large-scale column backfills.
• Shape the long-term technical direction for scalable, reliable, and efficient big data storage systems.
• Engage with and contribute to open source communities such as Apache Iceberg, Spark, and Flink to help address Pinterest’s scaling challenges.

What we’re looking for:

• 8+ years of relevant industry experience designing and building large-scale production distributed systems.
• Strong experience designing and maintaining scalable storage, metadata, or data lake infrastructure.
• Experience building storage capabilities for large-scale ML/AI or analytics workloads, including high-throughput data access, schema evolution, and large-scale column backfills.
• Deep knowledge with building distributed systems, data storage systems, and production infrastructure.
• Experience with big data technologies such as Apache Iceberg, Spark, Flink, Presto/Trino, Hive, or similar systems.
• Proficiency in programming languages like Java, Scala, or Python.
• Proven ability to lead complex technical initiatives and influence architecture across teams.
• Strong collaboration, communication, and problem-solving skills, with a drive for technical excellence and innovation.
• Bachelor’s degree in a relevant field such as Computer Science, or equivalent 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 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-HYBRID

#LI-AH2

Billions of dollars flows through Pinterest’s billing systems every year – if we don’t get our billing right, the business stops entirely.  And those systems need to continually evolve and adapt to the needs of the business and the expectations of our advertisers.  You will lead everything we need to do to support a world-class billing system, which involves collaborating with a dynamic, motivated, and expert team of cross functional partners to redefine, automate, expand, and streamline how Pinterest transacts with its clients.  Your success will depend on leading the company through significant process changes, having deep empathy for our sellers and advertisers, partnering with many stakeholders internally and externally, and championing better ways of running the business.

What you’ll do:

• Evolve our Billing systems to support modern methods of transaction processing – from supporting insertion orders to supporting credit lines.
• Lead product vision, strategy, technical development, and execution for a financial system that must always work and always be on. 
• Develop a deep understanding of the business’s workflows, and automate what will make the business run better and faster.
• Expand our billing capabilities to support new geographies, new business cases, new payment methods, and new internal ways of working.
• Design and build billing user interfaces – both internal and external – for delightful experiences.
• Translate insights into clear product requirements and collaborate with engineering, design, data analytics, marketing, research, and other product teams to drive measurable impact.  
• Communicate your strategy internally to ensure alignment, secure resources, and champion the roadmap’s vision. 
• Leverage AI to turbo-charge your own work, from writing to design to prototyping, and more.

What we’re looking for:

• Experience with financial systems, fintech, billing, accounting, or similar systems is a big plus.
• Excellent communication and stakeholder alignment skills.  
• Proven ability to shepherd large cross-functional teams in a fast-paced, collaborative environment.  
• Strong analytical mindset, using data to guide decisions and optimize workflows.  
• Extreme attention to detail and meticulous design sense.
• Track record of rapidly delivering user-focused solutions in a cross-functional setting.
• Bachelor’s degree in a relevant field such as Computer Science, or equivalent experience.

Relocation Statement:

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

#LI-REMOTE
#LI-REX

We're looking for a Senior Client Account Manager for the Financial Services vertical of Large Customer Sales. This person will closely collaborate with Client Partner on campaign execution and optimizations to help agencies and advertisers achieve their marketing objectives on the fast-growing Reddit platform. 

Team & Role Description

The Onboarding team owns the first experience every user has after signing up for Reddit. Every new Redditor, on every platform, walks through a flow we design, and our job is to make those first interactions feel streamlined, delightful, and personal. We guide each user through the signals we need to tailor their experience, then use those signals to help them quickly discover the magic of Reddit: valuable content and communities that feel approachable, relevant, and immediately rewarding from their very first session.

The Notifications Relevance team at Reddit is building the next generation of notifications focused on delivering the right content to the right user at the right time using the right channel (push notification, email digest and in-app). We are the second largest growth lever at Reddit and a core component to understanding how to delight our current user base and bring new users to discover all that Reddit has to offer.

Reddit has a flexible workforce! If you happen to live close to one of our physical office locations our doors are open for you to come into the office as often as you'd like. Don't live near one of our offices? No worries: You can apply to work remotely in any country in which we have a physical presence

As a Data Scientist 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 best practices for instrumentation and experimentation and communicate those to product engineering teams to help us fulfill our mission - to bring everyone the inspiration to create a life they love
• Bring scientific rigor and statistical methods to the challenges of product creation, development and improvement with an appreciation for the behaviors of our Pinners
• Build and prototype analysis pipelines iteratively to provide insights at scale while developing comprehensive knowledge of data structures and metrics, advocating for changes where needed for product development
• Work cross-functionally to build and communicate key insights, and collaborate closely with product managers, engineers, designers, and researchers to help build the next experiences on Pinterest

What we’re looking for

• 4+ years of experience analyzing data in a fast-paced, data-driven environment with proven ability to apply scientific methods to solve real-world problems on web-scale data
• Extensive experience solving analytical problems using quantitative approaches including in the fields of Machine Learning, Statistical Modeling, Forecasting, Econometrics or other related fields
• Experience using machine learning and deep learning frameworks, such as PyTorch, TensorFlow or scikit-learn
• A scientifically rigorous approach to analysis and data, and a well-tuned sense of skepticism, attention to detail and commitment to high-quality, results-oriented output
• Ability to manipulate large data sets with high dimensionality and complexity; fluency in SQL (or other database languages) and a scripting language (Python or R)
• Excellent communication skills and ability to explain learnings to both technical and non-technical partners
• A team player who’s able to partner with cross-functional leadership to quickly turn insights into actions
• Bachelor’s degree in Computer Science, a related field or equivalent experience

This position is not eligible for relocation assistance.

#LI-REMOTE

#LI-NM4

Our team developed Osprey, the open-source investigation and incident response tool that allows safety teams to understand what is happening on their platforms and take actions at scale. Osprey has since been open-sourced and donated to ROOST, reflecting our commitment to industry-wide safety improvements.

As a Senior Engineer on Safety Platform, you'll take full ownership of projects from identifying efficient solutions to gathering feedback and collaborating with cross-functional partners. You'll deliver lovable products while maintaining Discord's high quality bar, utilizing 80/20 thinking and a user-centric approach. You'll embody a growth mindset, diving into new code and technologies to deliver safety solutions that protect millions of users daily.

What You'll Be Doing

• Own complex safety platform projects end-to-end, from initial design through post-launch monitoring and iteration
• Build and maintain critical safety infrastructure
• Apply an adversarial mindset to your work, thinking through security, scaling, and abuse scenarios to protect Discord's users
• Collaborate with Trust & Safety, ML, and product teams to understand requirements and deliver effective safety solutions
• Debug and resolve issues within the team's codebase and adjacent systems, participating in on-call rotations
• Break down complex projects into smaller, prioritized work streams while managing stakeholders and dependencies
• Contribute to technical design discussions and documentation, writing RFCs when necessary
• Help establish best practices and maintain the team's quality bar through code reviews and mentorship

What you should have

• 5+ years of professional experience in a software development role, with a focus on backend services and infrastructure
• Strong programming skills in languages like Python, Rust, or TypeScript
• Experience building and operating production services at scale
• Demonstrated ability to own projects end-to-end and deliver results on time
• Experience with distributed systems concepts and cloud platforms (GCP/AWS)
• Strong debugging skills and ability to navigate complex codebases
• Experience with observability tools, metrics, and monitoring systems
• Excellent communication skills with ability to work effectively with cross-functional partners
• A quality-centered mindset with attention to the right details at every stage of development

Bonus Points

• A strong passion for Discord and gaming
• Experience tackling safety problems in collaboration with ML teams at large-scale social platforms

This position is US-based only. We are seeking candidates located in the Los Angeles area (Los Angeles, Orange, Riverside, San Bernardino, or Ventura Counties) or 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 to the San Francisco Bay Area.

This role requires either one week per month in a Los Angeles co-working space, or two days per week at our San Francisco Bay Area office.

The US base salary range for this full-time position is $196,000 to $245,000 + 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.

We are looking for inquisitive, well-rounded iOS 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 iOS 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 project
• 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 iOS development and best practices in Objective C and/or Swift, e.g. Xcode, app states, memory management, etc
• 3+ years of industry iOS 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.
• Bachelor’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.

#LI-REMOTE

#LI-KK6

Reddit is continuing to grow our teams with the best talent. This role is completely remote friendly within the United States. If you happen to live close to one of our physical office locations (San Francisco, Los Angeles, New York City & Chicago) our doors are open for you to come into the office as often as you'd like.

At Reddit, we work hard to earn our users’ trust every day as we pursue our vision to create a welcoming experience where anyone in the world feels a sense of belonging. We’re looking for a high-autonomy Engineering Manager to own the strategy, development, and scaling of Reddit’s Safety Experience Team. In this role, you will lead a high-impact engineering team dedicated to protecting our users and moderators from bad actors and malicious behavior. 

You will have full ownership over building the next generation of scalable safety tooling and automated defense systems that empower our global moderator community and equip our internal admin teams to safeguard the platform at scale. If you are an ambitious leader who thrives in ambiguous spaces, loves giving engineers a high degree of autonomy, and is excited by the massive leverage of securing one of the most popular websites in the world using AI, then you’ve found the right place.

Responsibilities:

• Lead a high-impact team of 13 engineers enabling automated AI training and human-in-the-loop workflows at the core of Reddit’s safety strategy
• Own the user-facing tools used by moderators to define and automatically enforce the rules in their communities
• Own the centralized platform used by admins to train AI models for content and behavior detection at scale, process reports and appeals, and investigate suspicious users and activity
• Partner cross-functionally with Product, Data Science, ML, and Operations to define and execute an AI-first platform strategy capable of supporting a 10x surge in scale while slashing incident response from days to seconds

Required Qualifications:

• Track record of directly managing and scaling larger engineering teams (10+ ICs) across full-stack and backend systems architectures
• Deep technical competence in full-stack engineering or architecture, with solid experience in large-scale distributed systems
• Able to set a roadmap for a team and its members, and deliver results with a strong customer and business focus.
• Desire to coach a team, regularly gathering and providing feedback to your team and fostering a healthy team culture.
• Customer focused and self-directed, innovative, biased towards action in fast-paced environments.
• Familiarity with or strong interest in AI/ML engineering practices, specifically around serving, prompt engineering, or productionizing LLM/classical workflows at scale .

Benefits:

• Comprehensive Healthcare Benefits and Income Replacement Programs
• 401k with Employer Match
• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave 

#LI-SP1

Pinterest's performance marketing engineering team owns the end-to-end systems that turn marketing dollars into measured user growth spanning attribution, bidding, budget optimization, and campaign management across major advertising platforms. This role is responsible for designing systems that scale across channels and adapt as privacy landscapes shift.

What you’ll do: 

• Lead the technical roadmap for the performance marketing platform, defining the highest-impact investments across attribution, bidding, budget optimization, and campaign management
• Drive hands-on engineering across ad platform integrations, event pipelines, and production systems that deploy and measure marketing spend
• Design and evolve the measurement stack — attribution models, conversion signal collection, incrementality methodology, and privacy-resilient approaches as platform signals degrade
• Develop systems that automate and optimize bidding strategies and campaign experimentation at scale
• Drive cross-team technical initiatives with ads platform, data warehouse, and mobile teams — authoring design documents and building alignment across engineering orgs
• Own system reliability and operational health for spend-critical systems where downtime or bugs have direct financial impact
• Collaborate with marketing, data science, and product partners to identify growth opportunities and turn them into engineered solutions
• Mentor and develop engineers on the team, establishing technical best practices and raising the bar on system design
• Use AI to accelerate your own work—across exploration, drafting, analysis, and synthesis—while maintaining strong judgment, rigorous validation, and accountability for outcomes

What we’re looking for:

• 7+ years of experience building and shipping backend systems, with hands-on experience supporting performance marketing
• Strong understanding of paid media platforms — Google Ads, Meta, TikTok, Snap, or similar — and the operational realities of integrating with their APIs at scale
• Deep understanding of attribution methodologies (last click, multi-touch, SKAN, probabilistic vs. deterministic), incrementality testing, and conversion optimization, with hands-on experience integrating mobile measurement partners (AppsFlyer, Adjust, Singular, or similar) across mobile clients and server-side APIs
• Experience with near real-time systems for bidding, budget optimization, and conversion event delivery — you understand the mechanics well enough to evolve existing systems and propose improvements
• Strong proficiency building and operating data pipelines and services using Python or Java/Scala, plus SQL; experience with modern big data ecosystems is a plus
• Strong systems design skills across distributed systems, event-driven architectures, and service-oriented backends
• Familiarity with ML infrastructure concepts and ability to build systems that support ML workloads
• Demonstrated ability to use AI to accelerate your workflow while maintaining high standards for verification, data integrity, and ownership of final outputs
• Bachelor’s degree in a relevant field such as Computer Science, 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-AG8

The Advertiser and Seller Experience team builds intelligent systems that help Pinterest advertisers and sellers move from insight to action. Our work spans advertiser-facing products such as Ads Manager as well as internal seller productivity tools that help sales teams identify opportunities, prepare customer conversations, troubleshoot campaign performance, and drive advertiser growth. As a Staff Machine Learning Engineer focused on Agentic AI & Recommendations, you will lead the ML strategy and execution for the intelligence layer behind these experiences. You will build recommendation systems, context foundations, and feedback loops that help AI agents understand advertiser and seller goals, surface the right next-best action, and learn from user response over time. This is a high-impact Staff IC role for someone who wants to combine deep recommendation systems expertise with modern agentic AI to shape how Pinterest advertisers and sellers work.

What you’ll do: 

• Lead the design and implementation of large-scale recommendation and decisioning systems that power proactive advertiser and seller guidance across Ads Manager, Pinterest Business Assistant, Pinnacle, and sales productivity workflows.
• Build ML foundations for a unified context layer and context agent that transforms campaign, account, performance, market, workflow, and interaction data into reusable signals for agentic experiences.
• Own recommendation initiatives end-to-end, from problem framing, label and feedback design, feature pipelines, model development, and offline evaluation through production deployment, experimentation, and monitoring.
• Develop evaluation and feedback loops that measure recommendation quality, user trust, action rates, business impact, and failure modes, then use those learnings to continuously improve models and agent behavior.
• Apply modern ML techniques such as retrieval and ranking, embeddings, personalization, multi-objective optimization, contextual decisioning, and response modeling to business-critical advertiser and seller workflows.
• Use AI to accelerate analysis, prototyping, documentation, and experimentation while applying strong judgment, testing, data validation, and review to ensure correctness, reliability, privacy, and customer trust.
• Mentor engineers and raise the technical bar for ML development, experimentation rigor, responsible AI usage, and production-quality agentic systems across the organization.
  
  

What we’re looking for:

• 7+ years of experience building and deploying large-scale ML systems in production (e.g., ads ranking, recommendation, Agentic AI, or search), with strong end-to-end ownership from problem scoping through evaluation and experimentation, and solid software engineering skills in at least one modern language (e.g., Python, Java) and large-scale data systems.
• Degree in Computer Science, Mathematics, or a related technical field, or equivalent experience.
• Strong end-to-end ML ownership, including problem scoping, data and label design, feature engineering, model training, production deployment, offline/online evaluation, experimentation, and monitoring.
• Deep understanding of recommendation system architectures such as candidate generation, retrieval, ranking, re-ranking, embeddings, vector search, multi-task learning, calibration, contextual bandits, or reinforcement learning.
• Proven Staff-level technical leadership as a hands-on IC, setting technical direction and driving multi-quarter ML and systems roadmaps, including 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.
• Experience using AI coding assistants (e.g., Cursor, Claude Code) and LLM-powered productivity tools to accelerate development, experimentation, and data exploration, with a clear approach to validation, data protection, and critical review of AI-assisted work.
  
  

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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Role Description

Pinterest is seeking a Staff Software Engineer, Capacity Engineering. The team is responsible for efficiently managing one of the largest-scale cloud-native infrastructures in the world. This role is highly impactful, as efficiency is an ongoing strategic priority for Pinterest. The role has direct visibility across Pinterest Engineering and with Engineering and company leadership. The team is looking for a candidate with a strong background in implementing performance and efficiency projects on large scale distributed systems.

What you’ll do

• Improve the efficiency of large scale shared environments like Kubernetes
• Improve the performance and efficiency of large scale distributed systems that drive Pinterest systems
• Build develop and mature profiling and optimization capabilities for Pinterest scale 
• Collaborate with Infrastructure Engineering and SRE teams in their mission to deliver highly available, resilient, secure and efficient foundations for Pinterest’s tech stack
• Leverage AI to scale the impact of yourself and the team, including:
  • Accelerate performance investigations (e.g. quickly distill logs/metrics/traces and prior learnings) while verifying findings through measurement and testing
  • Build tooling and agents that allow users to self-serve efficiency insights and recommendations
  • Iterate faster on optimization approaches and rollout plans, then validate impact with experiments and production guardrails
    
    

What we’re looking for:

• Bachelor’s degree in computer science, a related field or equivalent experience
• Deep understanding of infrastructure capacity and performance
• Experience leading efficiency initiatives at scale on Kubernetes or other large scale shared infrastructure
• Strong technical and performance engineering skills to collaborate with stakeholders on complex and ambiguous technical challenges
• Experience building and managing highly available distributed applications at scale
• Proficiency in software development languages such as Java, Python and C++
• Excellent skills in communicating complex technical issues
• Experience with AWS or similar cloud environments
• 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
• Bonus points for the following:
  • Hands-on experience with large, cloud-native multi-tenant platforms at Internet scale

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/month 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.

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Role Summary: 

The Director, Assistant General Counsel, Corporate & Securities will be a key member of Pinterest’s Legal team, reporting into the VP & Deputy General Counsel, Corporate, Commercial and Marketing. 

You will manage a small but high-performing team and be responsible for advising on U.S. securities law compliance, SEC reporting and disclosure matters, corporate transactions (including M&A), corporate governance, subsidiary management, treasury-related matters, sustainability-related initiatives and disclosures, and equity administration compliance. This role partners closely with Finance, Investor Relations, Accounting, Corporate Development, People/Total Rewards, Equity, Internal Audit, and the Board of Directors.

What you’ll do:

• Lead U.S. securities law compliance and public company disclosure, including drafting/reviewing Forms 10-K, 10-Q, 8-K, proxy statements, registration statements, and Section 16 filings.
• Advise on disclosure strategy and content, including materiality, risk factor development, forward-looking statements, and consistency across SEC filings, earnings materials, and other external communications.
• Partner with Finance and Investor Relations to run the earnings-cycle process and ensure alignment across scripts/talking points, Q&A, investor decks, and supporting disclosure back-up.
• Support and help drive disclosure controls and procedures, including process improvements and cross-functional coordination.
• Lead on annual meeting and proxy matters, including disclosure drafting and shareholder proposal process, support using AI tools for greater efficiency, and stakeholder engagement in coordination with relevant teams.
• Own and continuously improve insider trading compliance, including policies, training, trading windows, and Rule 10b5-1 administration, incorporating automation and self-service AI tools.
• Provide legal support for capital markets activities, including share repurchase programs, debt matters, and related disclosure considerations.
• Provide treasury-related legal support, including advising on credit facilities and overseeing bank account governance.
• Lead M&A matters across the deal lifecycle, including integration, and support corporate development projects.
• Advise on corporate governance matters, including governance best practices and evolving regulatory and market expectations.
• Support the Board and committee lifecycle (agendas, materials, resolutions, minutes, action tracking) and maintain strong governance documentation and processes.
• Lead global subsidiary governance and entity management, including formations, dissolutions, reorganizations, and ongoing entity maintenance and compliance obligations, incorporating enhanced tracking and monitoring tools.
• Provide legal support for equity compensation programs and administration, including plan documentation, securities-law compliance and governance approvals.
• Provide legal guidance on sustainability-related disclosures and public statements, including reporting readiness and Board/committee oversight documentation.
• Provide leadership and people management for a small team (including coaching, workload prioritization, process standardization, and cross-functional stakeholder management).
• Champion inclusion and belonging within L&BA and across partner teams; foster a culture of collaboration, feedback, and continuous learning.
  
  

What we’re looking for:

• J.D. from an accredited law school and active bar membership in good standing (U.S.).
• Minimum of 12 years of relevant experience in a leading law firm and/or in-house legal department, with substantial corporate and securities experience supporting a public company.
• Exceptional working knowledge of U.S. securities laws, SEC reporting, corporate governance, and public company compliance practices (including disclosure controls and procedures).
• Experience supporting M&A and capital markets transactions in a public company environment.
• Experience with equity program support at scale (global equity administration, insider trading compliance, Section 16 processes).
• Excellent drafting, editing, and communication skills; strong judgment and ability to communicate clearly with legal and non-legal stakeholders. 
• Demonstrated ability to lead complex, cross-functional workstreams and manage multiple priorities under deadline.
• Serve as a trusted, business-forward advisor to C-suite executives and other senior leaders.
• Demonstrated people leadership experience, including managing and mentoring a small team, setting clear priorities and expectations, and building scalable, high-performing legal support models.
• Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs.

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, with a preference to Pacific Time Zone locations (San Francisco, Seattle, Los Angeles).

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#LI-MB2

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com.

Reddit is poised to rapidly innovate and grow like no other time in its history. This is a unique opportunity to leave your mark on one of the most influential and trafficked corners of the internet. 

Consumer data science plays a key role in fulfilling Reddit’s mission of bringing community & belonging to the world through deep understanding of how we can better connect people to the best information and communities for them - the heart of Reddit’s product - from crypto to support groups, gaming to AMAs, travel tips to memes.

Reddit's relevance challenges are uniquely complex. Our platform is a deeply interconnected network of communities, contributors, and consumers - where the notion of "relevance" spans personalized content ranking, community discovery, and search across an enormous corpus of authentic, user-generated content. We need a senior technical leader who thrives on these hard problems and can raise the bar for how we measure, evaluate, and improve the quality of recommendations and search results across the entire Consumer organization.

As a Senior Staff Data Scientist on the Consumer team, you will be the go-to expert on relevance measurement and evaluation, partnering closely with Feeds and Search ML teams to tackle the most complex ranking, recommendation, and retrieval challenges across Consumer. You will shape how Reddit understands content quality, define the metrics and analytical frameworks that guide relevance improvements, and influence product strategy through rigorous analysis and experimentation.

Responsibilities

• Serve as the technical authority on relevance metrics and evaluation methodology across Consumer, setting standards for how we measure the quality of feeds, search results, and recommendations in a complex, community-driven environment
• Develop metrics frameworks and offline evaluation approaches for ranking and recommendation systems, including proxy metrics that reliably predict long-term outcomes like retention, community health, and user satisfaction
• Design and analyze experiments for relevance features, accounting for challenges unique to networked platforms such as spillover effects between communities, interference between contributors and consumers, and long-run impacts of ranking changes on content supply
• Identify opportunities where improved measurement and analysis can unlock product insights that were previously unmeasurable or ambiguous, particularly around content quality, search intent understanding, and personalization effectiveness
• Partner deeply with ML engineers and product teams to translate model performance metrics into user-facing impact
• Influence the long-term product strategy for Feeds and Search by synthesizing insights from experimentation, observational analysis, and metric deep-dives into clear, actionable recommendations for senior leadership
• Mentor and elevate other data scientists across the organization on relevance evaluation, experimentation best practices for ranking systems, causal reasoning, and statistical rigor
• Publish and share methodological advances internally and, where appropriate, externally to contribute to the broader relevance, recommendation systems, and experimentation community

Required Qualifications

• Ph.D. in Statistics, Computer Science, Information Retrieval, Economics, or a related quantitative field with a strong focus on recommendation systems, ranking, causal inference, or evaluation methodology; or M.S. with equivalent depth of expertise
• For M.S. holders: 12+ years of industry experience in applied science, data science, or relevance/ranking-focused roles
• For Ph.D. holders: 8+ years of industry experience in applied science, data science, or relevance/ranking-focused roles
• Deep expertise in metrics design and evaluation for ranking and recommendation systems, including offline metrics and counterfactual evaluation
• Strong understanding of causal inference and experimentation methodology, including practical experience with challenges relevant to ranking systems such as novelty effects, position bias, long-run effect estimation, and ecosystem-level impacts
• Experience defining and validating quality metrics for content ranking, search, or recommendations at scale
• Strong theoretical grounding in experimental design, including power analysis, variance reduction techniques, and sequential testing as applied to relevance experiments
• Expert knowledge of SQL and proficiency in R and/or Python for statistical computing
• Demonstrated ability to influence product and organizational strategy through data-driven insights about content quality and user experience
• Excellent communication skills with the ability to explain nuanced statistical and ML concepts and tradeoffs to both technical and non-technical senior stakeholders
• Experience mentoring data scientists and building organizational capability in relevance evaluation and experimentation
• Comfortable in innovative and fast-paced environments with a bias toward action

Preferred Qualifications

• Published research or industry contributions in areas recommendation systems or causal inference for ranking
• Experience with social network or user-generated content platforms where community-level dynamics create non-trivial relevance and experimentation challenges

Benefits:

• Comprehensive Healthcare Benefits and Income Replacement Programs
• 401k with Employer Match
• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave  

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