Product Lead, Data Products

Description:

• Set and own the product strategy for Stripe’s data products, including the multi-year vision and roadmap.
• Lead, mentor, manage, and hire a team of product managers while building a strong product culture.
• Drive revenue and retention outcomes by shaping data products for Stripe’s sales and self-serve motions.
• Define the standards for merchant data access, including schema design, query performance, reliability, latency SLAs, and warehouse integrations.
• Partner directly with enterprise customers to understand their data needs and feed insights into the roadmap.
• Work closely with data engineering and infrastructure teams on reporting data warehouse and data pipeline architecture.
• Anticipate how AI-native workflows such as agentic data access, natural language querying, and automated reporting should influence the product surface.
• Write clear strategy documents and influence senior stakeholders across Product, Sales, Finance, and leadership.

Requirements:

• 10+ years of product management experience.
• Experience leading or managing PM teams of 5+ product managers.
• Proven experience shipping at least one data product, such as a BI or analytics tool, data integration product, warehouse connector, or developer data API.
• Strong commercial intuition and experience working with Sales and Customer Success on product strategy.
• Technical fluency in data pipeline architecture, warehouse connectors, SQL query execution, and data delivery semantics.
• Exceptional written communication skills with the ability to produce concise decision memos and long-term strategy narratives.
• High ownership and comfort operating in ambiguous, fast-moving environments.
• Experience working across complex stakeholder groups including engineering, enterprise sales, customer success, finance, and legal.
• Experience building products on top of or integrating with Snowflake, BigQuery, Redshift, or Databricks (preferred).
• Familiarity with Stripe’s data model and merchant analytics use cases such as payments, disputes, revenue recognition, and reconciliation (preferred).
• Background in fintech or payments, especially in multi-currency or regulated environments (preferred).