Jobs in LA

Pinterest is a company like no other. And this is a moment like no other. We’ve spent the last decade building one of the world’s most loved platforms. Now we’re telling bigger, bolder, more consequential stories than we ever have—especially to the advertisers and agencies who power our business—and we need someone exceptional to lead them.

You’ll be the creative director behind Pinterest’s most important advertiser narratives: the keynotes that land on the world’s biggest stages, the thought leadership that shifts how marketers think about our platform, the executive communications that give our leaders a distinct and credible voice with CMOs and agency heads, and the B2B campaigns and sales narratives that move real business. This is a leadership role for someone who thinks like a strategist, writes like a pro, and knows how to build a function that scales across Business Marketing, Sales, and Comms.

You’re right for this role if you’ve built the narrative frameworks that shape how a company talks about itself to the market. You’ve stood in front of a CMO and held your own. You’ve turned a research insight into a keynote that changed minds—and into sales materials that changed plans. And you’re ready to do all of that at Pinterest, where storytelling has always been a competitive advantage and B2B narratives are now a primary growth lever.

What you’ll do:

• Own Pinterest’s Brand Narratives function within the marketing org: setting the creative vision, quality bar, and strategic direction for our highest-impact work: event keynotes, executive messaging, advertiser positioning, industry thought leadership, and scaled B2B content.
• Lead the end-to-end development of Pinterest’s biggest storytelling moments, including Pinterest Presents (our flagship advertiser summit), Pinterest Predicts (our annual trend report and campaign), and major tentpole events that reach thousands of clients, press, and industry leaders.
• Partner directly with C-suite and senior executives to develop their thought leadership voice. You’ll write speeches, talking points, and narratives that land on stages around the world, and you’ll know how to listen, steer, and hold your ground when the story needs defending.
• Drive Pinterest’s B2B messaging strategy in close partnership with Product Marketing, Business Marketing, Research, and Legal. You’ll develop the frameworks that earn company-wide adoption, and make sure they actually get used.
• Partner with Creative Directors, writers, designers, and producers across House of Creative to bring narratives to life across formats: decks, films, event experiences, digital content, and social—always with advertisers as the primary audience.
• Lead and develop a team of senior writers. You’ll set the creative culture, establish ways of working, and scale your own editorial judgment across everything the team makes.
• Use AI fluently to accelerate research synthesis, streamline feedback loops, and improve the speed and quality of content development, without ever sacrificing craft, accuracy, or audience relevance.
• Collaborate, collaborate, collaborate. You’ll work across Brand Research, Partner Insights, Business Marketing, PMM, Comms, Legal, and Ops. You’re the connective tissue that makes the whole thing work cohesively.

What we’re looking for:

• Minimum of 10 years of experience with deep experience in B2B, advertiser, and/or marketer-facing work—ideally at the intersection of brand storytelling and performance or platform marketing.
• A portfolio that proves you can turn complex business and product stories into clear, differentiated narratives that resonate with senior decision-makers (CMOs, brand leaders, media leads, agency heads).
• Demonstrated experience leading keynotes, tentpole events, or large-scale B2B campaigns for global brands—ideally in tech, platforms, or media—where storytelling and deck craft were critical to success.
• Expert narrative and writing skills: you can move from high-level narrative architecture to line-level craft, shifting tone appropriately for big-stage keynotes, sales narratives, and executive communications.
• Strong creative leadership and partnership muscles: you’re comfortable giving clear direction to designers, writers, producers, and marketers, and you know how to navigate feedback from senior stakeholders without losing the thread.
• Comfort using AI tools as a force multiplier—for drafting, structuring, and iterating on creative ideas—while maintaining full ownership of the story, judgment, and final outcomes.
• High bias for clarity and pragmatism: you can see around corners, simplify complexity, and keep teams oriented around the handful of messages that actually matter for advertisers.
• A collaborative, low-ego partner who brings curiosity, humility, and rigor to every brief—and who’s excited to help define how a challenger brand like Pinterest shows up in the B2B space.
• Bachelor’s degree in a relevant field such as marketing, communications, or a related field, or equivalent experience.

Relocation Statement:

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

In-Office Requirement Statement

• We 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. 

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#LI-JH4

Within Pinterest, the Pinterest Labs organization focuses on applied ML research and development. Labs works across a broad variety of AI/ML initiatives—including core computer vision, multimodal representation learning, heterogeneous graph neural networks, generative modeling, and recommender systems. This is the group that develops the 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 develops Pinterest's in-house visual encoder. In this role, you'll work with Pinterest's rich visual-text dataset to train large-scale models from scratch that are continuously shipped to production to power visualization features. You'll build multimodal representations that power applications such as recommender systems, Semantic IDs, and a range of downstream ML models. The visual encoder also produces visual tokens that power our in-house VLM and composed image retrieval models. The core visual pod is a small group (~10 engineers) inside Labs, which allows for deep collaboration. For example, engineers working on multimodal representation also contribute to our internal text-to-image generation Canvas project—collaborating on autoencoder design or on reward function development for RL training.

What you’ll do:

• Prototype state-of-the-art visual encoders that power Pinterest's recommender systems and internal visual language models.
• Experiment with billion-scale datasets and gain hands-on experience with large-scale GPU computing.
• Build flexible visual reasoning tools such as composed image retrieval, promptable detection/segmentation, and instruction-tuned embedding and generative models.
• Read research papers, participate in group discussions, and help brainstorm the company's overall visual generative strategy.
• Help collect relevant visual instruction training data that can be shared across multimodal representation, composed image retrieval, text-to-image generation and visual language modeling.
• Publish and share your work through conferences, paper submissions, and blog posts.
• Mentor junior researchers and research interns within the Pinterest Labs organization.
•  

What we’re looking for:

• Research engineers and scientists with experience building and training computer vision models.
• Experience with multimodal representations and visual language modeling is strongly preferred.
• A track record of research contributions (e.g., publications, open-source work) and/or shipping ML models to production.
• Hands-on experience with large-scale model training and modern deep learning frameworks (e.g., PyTorch).
• Strong collaboration skills and a demonstrated ability to work effectively in a small, fast-moving team.
• M.S. or PhD in Machine Learning or related academic areas, or equivalent work experience.
• Publications at top ML conferences
• Experience using Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring

Relocation Statement:

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

In-Office Requirement Statement:

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

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#LI-AK7

We’re looking for a Sr. Product Marketing Manager to lead go-to-market strategy and execution for SMB advertisers. In this role, you'll combine deep customer and market insight with cross-functional leadership to drive product adoption, shape product strategy and fuel SMB advertiser growth. This is a high-impact, strategic position with real autonomy and a direct line to how Pinterest builds the future of advertising.

What you'll do:

• Market analysis: Lead self-directed customer and market analysis to develop a comprehensive understanding of the Ads Manager product area and the broader competitive landscape
• Cross-functional alignment: Aggregate insights across teams (e.g. product analytics, data science, UXR, brand research and sales) to build advertiser empathy and identify competitive opportunities that influence product development
• Opportunity sizing: Define needs-based partner segmentation to inform priority opportunities. Estimate strategic and revenue impact of each initiative to allocate resources and support most effectively
• Go-to-market (GTM) strategy: Develop and execute comprehensive GTM marketing strategies from including positioning, messaging, channel mix, launch plans and contingencies
• Milestone management: Evaluate milestones and schedules, flag when projects are on- versus off-track and drive action through existing and new PMM best practices, tools and processes
  
  

What we're looking for:

• Bachelor's degree in Marketing, Business, Communications or a related field, or equivalent experience
• 6+ years of experience in product marketing, ads marketing or a related field
• Deep expertise with SMBs, including advertiser needs, media strategies, analysis and optimization
• Experience with Pinterest tools such as Ads Manager, Bulk Editor, Merchant tools and API-based workflows
• Experience developing and executing go-to-market strategies across multiple stakeholder groups
• Experience leading cross-functional workstreams independently, with comfort navigating ambiguity
• Strong communication skills with the ability to explain complex subjects clearly and concisely to leadership and cross-functional partners
• A commitment to understanding and advocating for advertisers, with a track record of turning customer insights into actionable product and marketing strategies
  
  

Relocation Statement:

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

In-Office Requirement Statement:

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

 #LI-REMOTE

#LI-PW1

Pinterest is seeking an experienced Staff Data Scientist to join our Finance & Business Operations team. This is a hybrid data-science / applied-AI / product-engineering role inside Pinterest's CFO organization. It sits at the intersection of forecasting and finance analytics, internal tool-building, and AI adoption — and the person in it is expected to operate across all three.

The core mandate is to make the CFO org's forecasting and planning work faster, be more  rigorous, and more self-serve. In practice that has meant owning a forecasting product end to end (data pipeline through user-facing UI), partnering directly with Finance, BizOps, and Core/Monetization stakeholders to embed it in their workflows, and turning the company's emerging AI platform capabilities into tools that finance teams actually use day to day.

This is a high-autonomy, high-trust individual-contributor role with broad cross-functional reach. 

What you'll do:

• Own forecasting tooling end to end. Build and maintain the team's primary forecasting workbench — from the underlying data and forecast logic through the interactive web UI that planners use to create, adjust, and review forecasts. This spans baseline vs. adjusted forecast modeling, scenario/delta workflows, backtesting, and diagnostics (year-over-year and month-over-month seasonality, engagement rates, and similar).
• Ship product, not just analysis. Design and build user-facing features: chart and visualization work, guided onboarding, history/audit views, region and time-grain filtering, performance optimization, and the kind of polish and bug-fixing that makes an internal tool feel like a real product. Instrument usage (collect and analyze raw logs) and let adoption data drive the roadmap.
• Drive AI adoption across Finance & BizOps. Take platform-level AI capabilities and turn them into concrete, trusted tools for finance users. Bring structured business cases (not wishlists) to platform/IT partners, pilot new capabilities, and write the enablement material — walkthroughs, documentation, "where to get started" guidance — that gets non-technical teams productive.
• Stay ahead of the AI capability curve. A significant part of this role is forward-looking: continuously read and interpret AI research (papers, model and tooling releases) and translate it into a grounded point of view on what will be possible in the next 6–12 months. Track the engineering roadmap closely, understand what platform capabilities are landing and when, and connect those dots to concrete opportunities for the CFO org — so the team builds for where AI is going, not just where it is today.
• Set AI strategy and guide executives. Turn that capability foresight into strategy: shape the CFO org's AI roadmap, prioritize where to invest, and advise senior leaders and executives on what's real, what's hype, and what to bet on. Communicate complex AI and technical trade-offs in plain, decision-ready terms, and act as a trusted technical advisor in executive conversations.
• Deliver recurring finance analytics. Support core CFO-org deliverables: budget-vs-actuals (BVAs), variance commentary, executive slide/deck preparation, and metric diagnostics (e.g., MAU and revenue diagnostics), including catching and resolving data-quality issues.
• Partner broadly and communicate clearly. Work directly with Finance, BizOps, Monetization, and platform/IT stakeholders. Translate ambiguous business questions into tooling and analysis, post clear release notes and stakeholder updates, and run live walkthroughs and training sessions.
• Set technical and analytical standards. raise the bar on rigor (validation, backtesting, sound metric definitions), make pragmatic build-vs-buy and scope calls, and create artifacts and documentation durable enough to outlive any single contributor.

What we’re looking for:

• Data science & forecasting
• Strong applied background in time-series forecasting and quantitative analysis: baseline construction, scenario/adjustment modeling, backtesting and forecast-accuracy evaluation, and seasonality analysis (y/y, m/m).
• Fluency in turning messy business questions into well-defined metrics and diagnostics; rigorous about metric definitions, data quality, and validation.
• Advanced SQL and proficiency in a primary analysis language (Python strongly preferred); comfort working directly with data warehouses and large datasets.
• Engineering & tool-building
• Demonstrated ability to build and ship internal web tools, not just notebooks or one-off analyses — meaningful front-end / full-stack capability (e.g., JavaScript/TypeScript, modern UI frameworks, interactive data visualization).
• Practical product-engineering instincts: UX/usability sense, performance debugging and optimization, handling state/data edge cases, and disciplined release hygiene (testing, build/lint, changelogs).
• Experience building dashboards and self-serve analytics (e.g., Superset, Tableau, Looker, or equivalent).
• Applied AI
• Hands-on experience applying modern AI/LLM tooling to real workflows — prototyping with AI assistants, agentic/MCP-style tooling, or internal AI platforms — and a track record of moving from experiment to adopted tool.
• Ability to build the business case for AI investment and to drive adoption with non-technical users (enablement, documentation, training).
• AI foresight & strategy (critical)
• Demonstrated habit of staying current with AI research and the broader landscape: able to read papers and model/tooling release notes and form a credible, independent view of what will be feasible 6–12 months out.
• Able to interpret an engineering roadmap and reconcile it with where the technology is heading — translating both into a concrete capability plan for the business.
• Strong product/business strategy instincts: prioritizing AI investments, sequencing bets, and distinguishing durable capability from hype.
• Executive influence
• Proven ability to advise and guide senior leaders and executives on technical and AI strategy, and to make complex trade-offs legible to a non-technical executive audience.
• Comfortable being the trusted technical voice in the room — framing decisions, managing expectations, and earning credibility with both finance leadership and engineering/platform partners.
• Scope, ownership & communication
• Staff-level autonomy: can independently scope, prioritize, and deliver multi-month efforts with minimal direction, and make sound trade-off calls.
• Excellent written and verbal communication; can write for executives and for end users, and can run live training and walkthroughs.
• Strong cross-functional collaboration across finance, operations, and technical/platform partners.
• Experience
• Minimum of 8  years of relevant experience in data science, analytics engineering, or applied ML.
• Bachelor's degree in a quantitative field (e.g., statistics, computer science, economics, engineering, math) or equivalent practical experience; advanced degree is a plus.

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 collaboration1-2 times every 6-months and therefore can be situated anywhere in the country. 
  
  

#LI-NM4 

#LI-REMOTE

We’re looking for a creative and driven Senior Product Designer to join our Monetization Agency 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:

• Drive vision and strategies for the Agency team, lead design projects across the entire product lifecycle
• Design end-to-end industry-leading products that help agencies adopt Pinterest's performance driving solutions and remove friction throughout the customer journey through a fast-paced experiment-driven product development process.
• 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:

• 5-8 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
• Nice to have: Experience with Agency customer segment 

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

This role is part of Pinterest's FTE Leave Coverage Program — a full-time staffing model purpose-built to ensure uninterrupted client service and consistent business performance during periods of extended employee leave, including parental and medical absences. Each engagement offers genuine ownership of high-value client relationships, hands-on expertise across Pinterest's full-funnel advertising solutions, and direct contribution to the North America Enterprise organization. Hires join Pinterest as regular, full-time employees, fully embedded within their teams and client portfolios from day one, with assignments typically scoped for approximately 6 months and subject to extension based on business needs.

As a Client Partner at Pinterest, you will serve as a strategic visionary, cultivating trusted relationships with top-tier clients through your deep expertise in full-funnel sales. By leveraging your nuanced understanding of client businesses, you will independently engage assigned customer accounts to promote Pinterest products effectively. Your primary responsibilities include meeting performance targets, developing new business, maintaining and expanding customer relationships, and resolving specific customer issues. By guiding clients’ efforts, you'll drive value for millions of Pinners seeking inspiration and action, forming strategic alliances both internally and externally. Success in this role depends on your ability to drive substantial revenue growth and spearhead a vision for long-term client success in a collaborative, dynamic environment.

What you'll do:

• Strategic Vision and Partnership Building
• Develop and execute full-funnel sales strategies that encompass awareness, consideration, conversion, and retention for top-tier clients, driving measurable business results.
• Cultivate and maintain strong relationships across client and agency stakeholders, including C-suite, Investment, Strategy, and Activation teams, organizing key educational summits, strategy sessions, and QBRs.
• Build and execute a strategic business plan to drive revenue growth on Pinterest. Get buy-in from key stakeholders (internally and externally) to your strategic approach and drive accountability through influence. Drive y/y growth and spearhead annual deal conversations.
• Demonstrate executive presence, leadership and influence with clients by understanding the ins and outs of their business that includes but is not limited to macro trends (headwinds, tailwinds), business goals & media KPIs, opportunities, etc to think critically, the status quo and not take client directives at face value.
• Product Expertise and Market Influence
• Serve as a product expert, delivering guidance on digital ecosystem and Pinterest's ad offerings, focusing on both upper and lower funnel formats, and staying at the forefront of industry trends to address partner needs.
• Develop tailored media strategies leveraging industry insights to achieve business goals, driving adoption and scaling Pinterest’s performance media solutions (search, Shopping, feed-based ads).
• Internal and External Collaboration
• Spearhead negotiations and develop joint business plans to foster an understanding of partner goals, maximizing impact while mobilizing cross-functional teams to address complex challenges.
• Drive business growth by analyzing partner goals, delivering data-driven insights, and crafting compelling narratives to guide successful media strategies.
• Champion Pinterest’s Value
• Champion Pinterest's value proposition by showcasing impactful ad metrics and positioning Pinterest as a key player in advertisers’ media mix.
• Proactively identify and communicate opportunities for incremental growth, working closely with clients to expand partnerships.

What we are looking for:

• Ad sales and Digital Advertising Expertise: Deep understanding of full funnel advertising solutions that includes media and measurement solutions for brand, consideration and conversion. Nice to have specialized knowledge/expertise in search, shopping, display and/or social.
• Strong Consultative and Negotiation Skills: Proven track record of developing long-term partnerships and effectively negotiating annual partnership agreements, ensuring mutual satisfaction and driving high-value client engagements.
• Analytical and Problem-Solving Skills: Ability to think critically and analytically by leveraging insights, macro trends and micro performance trends to translate learnings into actionable insights to propel revenue growth.
• Goal and Result-Oriented Approach: Demonstrated ability to consistently achieve revenue goals while balancing both short and long-term growth objectives to foster continued partnership development. This includes a strategic, results-oriented approach to client and media management, ensuring sustainable success and mutually beneficial outcomes.
• Excellent Communication and Collaboration Skills: Able to thrive in fast-paced environments, maintaining high standards of operational excellence, strategic thinking, and fostering a collaborative team atmosphere.
• Challenger mindset:  willing to challenge and stay persistent with key decision makers. Client Partners will continually evolve their relationships (client, agency and creative decision makers), drive weekly accountability with action plans and get creative where there are gaps in product or capabilities.
• AI Enthusiast: Demonstrates a strong curiosity for and practical application of AI to improve productivity, streamline workflows, and elevate client communications, presentations, and recommendations. Uses AI thoughtfully across account strategy and sales motions to uncover insights, sharpen strategic narratives, and show up as a strong, trusted advisor while maintaining sound judgment and a high bar for quality.
• Bachelor’s degree in a relevant field such as digital media or SAAS sales, 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 travel for quarterly team on-sites and client engagements as needed.

Relocation Statement:

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

#LI-HYBRID 

#LI-VP1

What the Role is:

As the Measurement Product Marketing Lead, you will define, position, and scale Pinterest's advertiser measurement strategy spanning attribution, signal quality, data partnerships, and measurement infrastructure to help advertisers understand and grow performance in an increasingly complex landscape.

This role is responsible for shaping how Pinterest brings measurement solutions to market, including attribution coverage, first-party data capabilities, incrementality, and emerging methodologies that give advertisers confidence in Pinterest's ability to deliver and prove results. You will play a critical role in sustaining and growing advertiser outcomes amid evolving platform changes, signal loss, shifting measurement expectations, and a rapidly changing industry landscape.

You will serve as the connective tissue across Product, Data Science, Engineering, Sales, Legal, and senior leadership ensuring that new solutions are commercially clear, technically sound, and grounded in advertiser impact. This includes driving inbound market and competitive research, developing compelling narratives for advertisers, partnering with EPD to assess business implications before rollout, and ensuring attribution coverage is treated as a top-level strategic priority.

What You'll Do:

• Define the strategic narrative and positioning for Pinterest's measurement capabilities, helping advertisers and the industry understand Pinterest's approach to attribution, signal quality, and performance visibility.
• Lead go-to-market strategy and commercial readiness for new measurement products and capabilities including messaging, launch plans, advertiser-facing materials, sales enablement, onboarding guides, objection handling, and escalation frameworks.
• Make attribution coverage a top-level product and business priority by partnering with Product, Data Science, Engineering, and senior leadership to assess how signal availability, data sources, and product changes affect advertiser reporting, optimization, and performance visibility.
• Drive roadmap input, rollout planning, and business impact assessment for measurement changes ensuring advertiser impact, product scalability, and revenue implications are understood and incorporated before launch.
• Shape Pinterest's market and industry thought leadership on advertiser measurement through competitive research, advertiser insights, executive narratives, and clear enablement for Sales, Client Solutions, and external audiences.

What we’re looking for:

• 7+ years of experience in Product Marketing, Product Management, Strategy, or related roles, ideally within social, tech, ads, measurement, data, privacy, or adtech platforms.
• Bachelor’s degree in a relevant field such as Marketing or equivalent experience.
• Deep understanding of ads measurement and performance marketing, including conversion reporting, attribution methodologies, signal loss, first-party data, event quality, optimization workflows, and brand/performance advertiser needs.
• Strong knowledge of identity and privacy-enhancing technologies, including GDPR, CCPA, ATT, digital identity matching, Differential Privacy, MPC, TEEs, Data Clean Rooms, and other privacy-preserving measurement approaches.
• Proven success developing positioning, GTM strategy, launch plans, and sales enablement for highly technical products across privacy, identity, measurement, attribution, data, or ads.
• Strong analytical and business judgment, with the ability to assess advertiser, reporting, attribution, and revenue impact from product or privacy changes and translate insights into clear recommendations for Product and senior leadership.
• Exceptional cross-functional leadership and communication skills, including experience partnering across Legal, Privacy, Infrastructure, Data Science, Engineering, Product, Measurement, Sales, and Client Solutions while creating clear narratives, playbooks, objection handling, escalation paths, and executive-ready materials.
• 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 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-PW1

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

What you’ll do:

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

What we’re looking for:

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

This position is not eligible for relocation assistance.

#LI-REMOTE
#LI-REX

Sr. Performance Solutions Partner 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 strong influence 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 of key accounts across the brand sector.
• 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:

• 6+ 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, digital media or SaaS sales, or equivalent professional experience. 

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

• 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.

#LI-HYBRID

#LI-LP1

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 Core Issuing and Processing team owns the foundational stack that powers Marqeta's core business. We develop and maintain the systems that span six critical domains: Onboarding, Issuing, Digital Wallets, Authorization & Clearing, Transaction Controls, and Ledger. Together, these systems form the backbone of Marqeta's card issuing and payment processing platform.

The Impact You’ll Have

• Own the technical roadmap and author system designs that enable scalable, secure, and operationally efficient card issuing and payment processing products for our customers.
• Spend significant time in the codebase – writing, reviewing, and optimizing code across the issuing and processing stack.
• Identify and drive high-impact technical initiatives that improve the performance, reliability, and cost-efficiency of our core processing engines.
• Collaborate with Product Managers to analyze requirements and provide technical recommendations across onboarding, issuing, digital wallets, authorization & clearing, transaction controls, and ledger.
• Mentor and guide technical leads, influence stakeholders, and establish success metrics to drive organization-wide technical excellence.
• Apply and evangelize modern best practices in your software designs and implementations to increase the platform's resiliency and scalability.

Who You Are

• 12+ years of hands-on software engineering experience.
• Demonstrated passion for software engineering excellence, including design principles, fault tolerance practices, scalability, cost, security & privacy considerations, and test-driven development.
• Experience partnering with product teams to ideate and bring innovative solutions to market.
• Experience developing and scaling microservices using modern cloud technologies, preferably AWS.
• Experience working with high volume / low latency data infrastructures.
• Solid understanding of security engineering best practices and demonstrable experience in designing solutions that adhere to those standards.
• Passion for non-functional challenges, namely: Scale, Cost, Reliability, Performance, High Availability.
• Experience building systems running in multiple regions.
• Team-oriented approach – can effectively lead a project, participate as an influential team member, and work cross-functionally with other organizations.
• Experience with our tech stack, namely Java, Springboot, Kubernetes, Terraform, Helm, Kafka, JPOS, and AWS services.
  
  

Nice-To-Haves

• Master's degree in Software Engineering.
• Experience in payment processing, card issuing, or the payments industry.
• Domain experience in authorization, clearing, settlement, tokenization, or ledger systems.

Your Manager

• Arash Afrooze, Sr Director, Software Engineering

Recruiter For This Role

• Prashant

Typical Process

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

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 the National geo-tier within the United States:

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

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: $242,400 - $303,000

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 helps more than 600 million people discover new ideas to help design their life. Our users come to Pinterest to explore ideas and run more than 80 billion search queries every month. Many of these queries represent exploratory search and shopping intent and are broad, which means that the search system should be able to deeply understand this intent, then help people explore content, personalize results, harness visual and multimodal signals effectively, and show the most engaging content up front. All of this means that Pinterest Search presents a unique challenge quite unlike other search systems and the opportunity to innovate on a product that only Pinterest can build.

We are looking for an exceptional Senior Staff Engineer to lead Search’s product and front-end strategy across iOS and other platforms such as Android and Web, spanning core product lines like Text Search, Visual Search, and Image Search. In this role, you’ll lead several teams carving and evolving the Search experience for Pinterest.

What you’ll do: 

• Own and drive the multi-platform product and front-end strategy for Pinterest Search across iOS, Android, and Web, ensuring a cohesive and delightful experience across Text Search, Visual Search, and Image Search.
• Lead the design, implementation, and productionization of end-to-end features and journeys in Search, partnering with product, design, and ML teams to deliver measurable improvements in engagement and quality.
• Use AI (including LLMs and other generative techniques) to accelerate exploration and iteration - rapidly prototyping new interaction patterns, drafts of UI/UX variations, and experiment plans - while applying strong engineering judgment and verification to ensure correctness, performance, and quality.
• Provide technical leadership across 35+ engineers working on Search front-ends and related product surfaces: define architectural direction, codify best practices, and raise the bar on code quality, performance, and reliability.
• Collaborate closely with infrastructure, ML, and back-end teams to design robust APIs, data contracts, and experimentation hooks that enable fast, safe iteration on Search experiences.
• Partner with cross-functional teams across Pinterest to identify technologies being developed elsewhere (e.g., new UI systems, ML-driven components, experimentation platforms) and apply them to Search - or extend Search innovations to other teams where they can have outsized impact.
• Mentor and grow engineers and technical leaders in the organization, helping them develop strong front-end, full-stack, and product-thinking skills.

What we’re looking for:

• 10+ years of experience building and shipping large-scale, consumer-facing products, with deep expertise in iOS development and/or strong full-stack engineering skills.
• Demonstrated experience leading front-end and product strategy across multiple platforms (iOS, Android, Web), including designing architectures that support consistency, performance, and fast iteration.
• Strong track record of tech-leading complex, cross-team initiatives from problem definition through execution, using A/B experimentation and data to guide decisions and demonstrate impact.
• Experience collaborating with ML, infra, and back-end teams on API design, data flows, and experimentation frameworks that support rich search or discovery experiences.
• Demonstrated ability to use AI to improve speed and quality in your workflow (e.g., drafting prototypes, exploring alternative UX flows, synthesizing experiment outcomes), combined with a rigorous approach to validating AI-assisted work through testing, data validation, and peer review.
• Excellent communication and collaboration skills, with the ability to influence senior stakeholders and cross-functional partners and align them around a cohesive Search product and front-end vision.
• Bachelor’s/Master’s degree in Computer Science, a related technical field, or equivalent practical 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 times per week and therefore needs to be in a commutable distance from one of the SF/PA offices.

#LI-REMOTE

#LI-KK6

Pinterest brings millions of people the inspiration to create a life they love. Behind that experience is a complex infrastructure ecosystem that powers reliability, performance, measurement, and efficiency across the platform. As Pinterest grows, it’s increasingly important that we understand these systems clearly so we can make smarter decisions for both Pinners and the business.

We’re looking for a Data Scientist to join our Infrastructure Data Science team. In this role, you’ll partner with engineering and cross-functional teams to make Pinterest’s infrastructure more measurable, intelligible, and actionable. Depending on the area, your work may span app performance, shopping infrastructure, metrics quality, infrastructure governance, or site reliability. You’ll help build the data foundations, measurement systems, and analytical frameworks that enable Pinterest to optimize core technical systems and make better product and infrastructure decisions.

What you’ll do:

In this role, you will partner closely with engineering and cross-functional teams to improve how Pinterest measures, understands, and optimizes its infrastructure:

• Partner with engineering teams to define, measure, and improve the health, quality, and efficiency of Pinterest’s infrastructure systems.
• Build and refine metrics, dashboards, and analytical frameworks that make complex technical systems more understandable and actionable.
• Strengthen data foundations by improving metric definitions, auditing data quality, and contributing to pipeline and measurement improvements where needed.
• Design and analyze experiments, investigations, and deep dives to quantify the impact of infrastructure changes on user experience, reliability, and business outcomes.
• Translate ambiguous technical problems into clear analyses and actionable recommendations for engineering and platform partners.
• Support high-priority investigations and decision-making related to infrastructure performance, reliability, cost, and measurement quality.
• Identify opportunities to improve how Pinterest measures and optimizes infrastructure across a range of domains, such as performance, shopping infrastructure, governance, metrics quality, and site reliability.

What we’re looking for:

• 4+ years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problems with large-scale data.
• Bachelor’s/Master’s degree in a relevant field such as Computer Science, or equivalent experience.”
• Strong SQL and analytical programming skills, with experience working through messy, imperfect data and building reliable metrics and datasets.
• Experience partnering on or contributing to production-ready data pipelines, measurement systems, or foundational data work that improves data quality and usability.
• Solid foundation in experimentation and measurement, with the ability to design analyses, interpret results rigorously, and partner effectively with engineers and other cross-functional stakeholders.
• Demonstrated ability to translate ambiguous problems into clear analytical workstreams and actionable recommendations.
• Strong cross-functional communication skills, with the ability to explain technical findings clearly to engineering, product, and platform stakeholders.
• Ability to operate independently, prioritize across both longer-term projects and fast-turn inbound requests, and drive work forward in a dynamic environment.
• Curiosity and a builder mindset, with excitement for improving messy systems and creating more scalable, trustworthy measurement foundations.

In-Office Requirement Statement:

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

Relocation Statement:

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

#LI-NM4

#LI-REMOTE

We’re hiring a Staff Machine Learning Engineer to help drive the future of merchant presence and shopping experiences on Pinterest.

This role sits on the Merchant team and focuses on building AI/ML systems (including LLMs) that identify, understand, and surface relevant, high-quality merchants across segments—so Pinners can discover new brands with greater confidence and consideration, and merchants can reach new, diverse audiences.

In this role, you’ll lead LLM-first, evaluation-driven initiatives—near-term focused on agentic workflows, measurement, and operational rigor that strengthen Merchant Integrity and Business Integrity. Longer term, you’ll help advance core relevance capabilities such as merchant/brand affinity modeling and related signals that improve shopping discovery across Pinterest. You’ll partner closely with Product Managers, Engineering Managers, Data Science, Design, and platform teams to take systems from early prototypes to reliable, scaled production.

You will also serve as the technical lead for ML in this space—reporting to a Director and acting as the first ML Engineering hire in this org—helping define the technical roadmap, establish engineering standards, and lay the foundation for scaling the domain and team over time. This is a high-agency, high-impact role with direct levers on user trust, relevance, and shopping outcomes across high-traffic Pinterest surfaces (organic and paid).

What you’ll do:

• Own end-to-end technical delivery for cross-team initiatives—from problem framing and technical strategy through architecture, implementation, rollout, monitoring, and iteration.
• Set technical direction and execution plans in partnership with a Director and cross-functional leads, including defining milestones, sequencing, and quality bars for the domain.
• Build and evolve ML and GenAI systems that improve merchant quality and understanding (e.g., merchant content enrichment, attribute extraction/normalization, entity resolution, merchant/brand quality signals, and policy-aware transformations), with clear downstream impact on retrieval, ranking, and shopping surfaces.
• Establish robust evaluation and measurement practices across ML + LLM-assisted systems, including golden datasets, human-in-the-loop review loops, automated regression testing, offline/online metric alignment, and clear go/no-go launch criteria for quality, safety, and performance.
• Design systems with strong attention to quality, cost, latency, reliability, and safety, including guardrails, fallbacks, caching, and observability to support scaled production operations.
• Establish the ML engineering operating model for the org (where applicable): evaluation standards, launch readiness reviews, monitoring/alerting, and sustainable ownership practices to keep quality high as the roadmap scales.
• Partner with cross-functional stakeholders across Product, Engineering, Data Science, Design, Trust/Policy/Legal, and ML platform teams to align on goals, constraints, and rollout plans—and to turn ambiguous needs into concrete ML deliverables.
• Drive experimentation and iteration (A/B tests, holdouts), lead error analysis, and translate learnings into measurable improvements to user trust and shopping outcomes.
• Mentor and raise the bar for technical design, evaluation rigor, and production readiness across the team—enabling faster, safer iteration with AI/ML tooling and best practices.
• Help scale the domain by supporting hiring and onboarding over time (e.g., interview loops, onboarding plans, technical mentorship), as we build out ML engineering capacity.

What we’re looking for:

• 8+ years of industry experience in ML engineering / applied ML / software engineering, including meaningful time operating as a Staff-level (or equivalent) IC delivering complex production systems.
• Demonstrated ability to lead 0→1 ML/LLM efforts: taking ambiguous problem spaces, defining the approach, and delivering a production system with measurable impact.
• Strong track record shipping ML-powered systems in domains such as recommendation, ranking, retrieval, content understanding, ads relevance, commerce, or adjacent areas with clear product impact.
• Hands-on experience building LLM-powered applications in production (or adjacent GenAI systems), with strong judgment on reliability, failure modes, rollout safety, and practical tradeoffs.
• Deep experience with evaluation and measurement: dataset strategy, labeling/review operations, metric design, regression testing, and connecting offline improvements to online outcomes.
• Strong systems design skills building data- and ML-intensive systems, with the ability to navigate tradeoffs in performance, reliability, scalability, and cost.
• Strong communication skills and the ability to influence technical direction across teams without directly owning every implementation detail.
• Demonstrated experience building and enhancing cross-functional partnerships with other teams and organizations.
• Bachelor’s degree in Computer Science, Engineering, or a related technical field—or equivalent practical 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:

This role will need to be in the office for in-person collaboration 1 time per week and therefore needs to be in a commutable distance from one of the following offices: Toronto Office

#LI-AK7
#LI-HYBRID

• Collaborate closely with your cross-functional team (Product, Design, Data Science, Marketing, 3P Partnerships and UX Research) to drive your team’s vision and roadmap.
• Lead a team of engaged full stack engineers by hiring, coaching, and instilling best practices.
• Use your technical expertise to make appropriate tradeoffs and ensure your team is designing scalable technical solutions and delivering high-quality products. 
• Instill a culture that both drives impactful results and delights the end user.
• Set a strong pace for the team by fostering a culture of 80/20 thinking, shipping and iterating quickly, and making timely decisions even in ambiguous problem spaces.
• Make sound first-principle decisions around resourcing and communicating the rationale clearly to partners and team members.
• Partner with your org leader on strategic planning and to improve the Engineering organization and uphold our workplace philosophy.

What you should have

• You have 5+ years of experience as a Software Engineer
• You have 2+ years of experience as an Engineering Manager
• You collaborate closely with product managers, designers, data scientists, and other engineers to define great solutions to business problems
• You take pride in delivering a delightful experience for end users, stakeholders and anyone you work with
• You are motivated to help your team members succeed and have experience growing engineers
• Code doesn't scare you - you are still an engineer even if you don't do it all the time
• You embrace "all problems are my problem." You help your team and cross-functional partners overcome obstacles and resolve blockers so the work keeps moving.

Bonus Points 

• You understand the gaming industry
• You have experience working on teams focused on growth, particularly in revenue generation, e-commerce or product monetization
• Strong track record of driving measurable impact through experimentation and data driven decision making
• Experience with the full lifecycle of consumer products: attracting new users, driving engagement, sustaining retention, and optimizing monetization outcomes
• You are a Discord user, and understand the core features and flow of Discord communications

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

For this role, there is no formal requirement to work from the office.

The US base salary range for this full-time position is $248k to $310k + 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.

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

What you’ll do:

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

What we’re looking for:

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

Relocation Statement:

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

In-Office Requirement Statement: 

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

#LI-REMOTE

#LI-PW1

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

What you’ll do:

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

What we’re looking for:

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

Relocation Statement:

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

In-Office Requirement Statement:

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

#LI-REMOTE

#LI-JD3

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

What you'll do:

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

What we’re looking for:

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

In-Office Requirement Statement: 

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

Relocation Statement:

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

#LI-REMOTE

#LI-JT1

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

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

What you’ll do:

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

What we’re looking for:

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

In-Office Requirement Statement

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

Relocation Statement:

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

#LI-HYBRID

#LI-AKEO

Intro:

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

What you’ll do:

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

What we’re looking for:

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

Relocation Statement:

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

In-Office Requirement Statement:

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

#LI-REMOTE

#LI-JD3

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

What you’ll do: 

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

What we’re looking for:

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

Relocation Statement:

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

In-Office Requirement Statement:

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

#LI-AK7
#LI-HYBRID

Job Title: Staff Software Engineer, Edge Team.

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

What you’ll do: 

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

What we’re looking for:

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

Relocation Statement:

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

In-Office Requirement Statement: 

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

 #LI-REMOTE

#LI-KBF

About tvScientific

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

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

What you’ll do: 

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

What we’re looking for:

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

Relocation Statement:

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

In-Office Requirement Statement: 

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

#LI-REMOTE

#LI-SM4

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

What you’ll do: 

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

What we’re looking for:

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

Relocation Statement:

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

In-Office Requirement Statement:

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

#LI-REMOTE

#LI-KBF

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

What you’ll do: 

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

What we’re looking for:

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

Relocation Statement: 

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

In-Office Requirement Statement: 

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

#LI-REMOTE

#LI-KBF

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

The Impact You’ll Have

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

What Success looks like

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

Who You Are

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

Nice-To-Haves

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

Your Manager

• Ashok Agrawal, Senior Director, Software Engineering

Recruiter For This Role

• Prashant, Senior Technical Recruiter

Typical Process

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

Compensation and Benefits

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

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

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

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

• National: 174,700 USD - 218,400 USD

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

Along with monetary compensation, Marqeta offers

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

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

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

What you’ll do:

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

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

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

What we’re looking for:

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

Relocation Statement:

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

In-Office Requirement Statement:

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

#LI-NM4
#LI-REMOTE

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

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

What you’ll do:

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

What we’re looking for:

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

Relocation Statement:

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

In-Office Requirement Statement:

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

#LI-REMOTE

#LI-AAR

About tvScientific

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

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

What you'll do:

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

What we're looking for:

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

In-Office Requirement Statement:

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

Relocation Statement:

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

#LI-SM4

#LI-REMOTE

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

What you’ll do:

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

What we’re looking for:

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

Relocation Statement:

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

In-Office Requirement Statement:

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

#LI-NM4 

#LI-REMOTE

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

The Impact You’ll Have

Credit Strategy & Policy

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

Modeling & Data

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

Capital Markets & Partners

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

Governance & Reporting

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

Advisory & Cross-Functional Leadership

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

Who you are

Experience & Background

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

Technical Skills

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

Collaboration & Communication

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

Mindset & Adaptability

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

Your Manager

Neha Nanda, Senior Director, Credit Risk

Our (typical) process:

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

Compensation and Benefits

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

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

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

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

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

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

Along with monetary compensation, Marqeta offers

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

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

What you’ll do: 

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

What we’re looking for:

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

Relocation Statement:

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

In-Office Requirement Statement: 

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

#LI-REMOTE
#LI-AK7

What you’ll do:

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

What we’re looking for:

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

Relocation Statement:

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

In-Office Requirement Statement:

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

#LI-NM4

#LI-REMOTE

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

What you’ll do: 

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

What we’re looking for:

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

Relocation Statement:

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

In-Office Requirement Statement: 

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

#LI-REMOTE

#LI-AK7