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).
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