Product Lead, Data Products

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