Stripe Logo

Stripe

Product Lead, Data Products

Reposted 14 Days Ago
Be an Early Applicant
In-Office
San Francisco, CA, USA
Expert/Leader
In-Office
San Francisco, CA, USA
Expert/Leader
Lead product strategy and execution for Stripe's merchant-facing data portfolio (Sigma, SDP, connectors). Own multi-year vision and roadmap, manage and grow a PM team, partner with enterprise customers and cross-functional stakeholders, and drive revenue, retention, and technical excellence across data pipelines, warehouses, and AI-native workflows.
The summary above was generated by AI

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About the Team

Every business running on Stripe eventually asks the same questions: What's happening with my business? What does it mean for my company? How do I reconcile my books? And how do I get my Stripe data into my own systems and apps? This is all becoming even more important in the era of AI, where merchant’s agents need the right access to, and understanding of, Stripe’s data. 

The Data Products team exists to answer those questions — at any scale, for any business. We build the products that turn Stripe's rich transaction data into understanding and action: Sigma for deep SQL-powered analytics, Stripe Data Pipeline for delivering Stripe data directly into merchants' own warehouses and applications, and databases for surfacing the right insight, in context, right inside the Dashboard.

Our users range from a founder running their first revenue report to an enterprise finance team reconciling millions of transactions across dozens of markets, to any agent working on a merchant’s behalf. What they all share is a need to trust their data, understand their business, and move fast. We make that possible.

About the Role

As the PM leading Data Products, you will own the product strategy and execution for Stripe's merchant-facing data portfolio — defining what it means for Stripe to be the best data platform for our merchants and agents. You'll set the direction across Sigma, SDP, and other data products, lead a team of PMs, and work closely with engineering, design, sales, and Stripe customers to shape how businesses access, analyze, and act on their Stripe data.

This is a high-stakes, high-visibility role. Data access is increasingly a core buying criterion for Stripe's largest customers, and the competitive landscape for data portability and embedded analytics is evolving fast. You'll need to think strategically about platform positioning, lead through ambiguity, and ship products that work flawlessly for a very sophisticated user base.

What You'll Do

  • Set and own the product strategy for Stripe’s data products, defining the multi-year vision and translating it into a coherent roadmap that balances enterprise growth, self-serve expansion, and platform quality
  • Lead and develop a PM team. Manage, mentor, and hire PMs; build a high-caliber team culture with strong product craft and clear ownership
  • Drive revenue and retention outcomes. Deeply understand the commercial role of data products in Stripe's sales and self serve motions and build accordingly
  • Define what "great" looks like for merchant data access — from schema design and query performance to delivery reliability, latency SLAs, and integrations with third-party warehouses (Snowflake, BigQuery, Redshift, Databricks)
  • Partner with enterprise customers. Engage directly with Stripe's largest users to understand how they use and rely on their Stripe data, and feed those insights back into the roadmap
  • Navigate deep technical complexity. Work fluently with data engineering and infrastructure teams on the underlying Reporting Data Warehouse and data pipeline architecture
  • Anticipate the AI shift. Identify how AI-native workflows (agentic data access, natural language querying, automated reporting) should reshape the product surface over the next 2–3 years
  • Communicate and influence broadly. Write crisp strategy docs, earn trust from senior stakeholders across Product, Sales, and Finance, and represent Data Products clearly at the leadership level

Who You Are

  • 10+ years in product management, including experience leading or managing PM teams of 5+ PMs
  • Deep expertise in data products. You have shipped at least one of: a BI/analytics tool, a data integration product, a warehouse connector, or a developer data API
  • Strong commercial intuition. You understand how data products drive enterprise deal velocity, expansion, and retention, and you've worked closely with Sales and CS on product strategy
  • Technically fluent. You can hold your own in discussions about data pipeline architecture, warehouse connectors, SQL query execution, and data delivery semantics; you don't need to write the code but you need to understand the tradeoffs
  • Exceptional written communicator. You write with the clarity and precision Stripe's culture demands, from a tight decision memo to a multi-year strategy narrative
  • High ownership instincts. You proactively identify what needs to happen, move fast without waiting for permission, and hold yourself accountable to outcomes
  • Comfortable in a complex stakeholder environment. Data products touch engineering, enterprise sales, customer success, finance, and legal; you can align them without losing pace

Nice to Have

  • Experience building products on top of or integrating with major cloud data warehouses (Snowflake, BigQuery, Redshift, Databricks)
  • Familiarity with Stripe's data model and the kinds of analytics questions merchants care about (payments, disputes, revenue recognition, reconciliation)
  • Background in fintech or payments — you understand the data complexity that comes with operating across hundreds of payment methods, currencies, and regulatory regimes

Why This Role

Stripe's merchants run their businesses on Stripe data. When Stripe’s data products surface the right insight at the right moment — merchants make better decisions, and they stay on Stripe. This role is a direct lever on that outcome. You'll have meaningful scope, a strong team, and the opportunity to define what world-class data access looks like for the most important businesses in the world.

HQ

Stripe San Francisco, California, USA Office

510 Townsend St, San Francisco, CA, United States, 94103

Similar Jobs

8 Hours Ago
In-Office
Palo Alto, CA, USA
250K-350K Annually
Senior level
250K-350K Annually
Senior level
Information Technology
Design and build scalable backend and infrastructure for autonomous AI agents: real-time messaging, agent runtimes, LLM integrations, vector retrieval, APIs, databases, and production reliability while mentoring engineers and driving architectural decisions.
Top Skills: AWSCi/CdEmbeddingsExpressFastapiGCPGemini)GoGptKubernetesLlms (ClaudeMessage QueuesNode.jsNoSQLPub/SubPythonSQLTypescriptVector SearchWebsocket
8 Hours Ago
Hybrid
178K-313K Annually
Senior level
178K-313K Annually
Senior level
Artificial Intelligence • Cloud • Machine Learning • Mobile • Software • Virtual Reality • App development
Design and implement generative ML systems (image, video, audio, multimodal LLMs) and deliver on-device and server-side inference. Build GenAI pipelines and AR experiences, prototype with cross-functional teams, and optimize efficient models for real-time mobile and wearable applications.
Top Skills: Audio GenerationAugmented RealityC++ClassificationDiffusion ModelsGenerative ModelsImage GenerationLlmsMobile Real-Time SoftwareObject DetectionOn-Device InferencePythonPyTorchSegmentationTensorFlowTrackingVideo Generation
8 Hours Ago
Easy Apply
Hybrid
San Francisco, CA, USA
Easy Apply
111K-165K Annually
Senior level
111K-165K Annually
Senior level
Fintech • HR Tech
Manage and execute the RIA and BD compliance program: registration and filings, surveillance, testing, advertising review, training, electronic communications monitoring, vendor due diligence, AI governance, exam readiness, and day-to-day program operations supporting SEC and FINRA requirements.
Top Skills: Ai ToolsComplysciGlobal Relay

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account