Lead, Data Products & Platform Strategy

Stripe; San Francisco (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Stripe is seeking a seasoned Product Manager to lead Data Products, owning strategy and execution across Sigma, SDP, and related data offerings. You will guide a PM team and collaborate with engineering, design, sales, and customers to shape how merchants access and act on Stripe data.

The role emphasizes strategic signaling, data portability, and embedded analytics in a fast-evolving market. Strong leadership and data fluency are essential.

Qualifications

• 10+ years in product management, including leadership of PM teams.
• Experience shipping BI/analytics or data integration products is highly desirable.
• Strong commercial intuition and cross-functional collaboration with Sales and CS.

Responsibilities

• Set and own the product strategy for Stripe’s data products and define multi-year roadmaps.
• Build and lead a PM team; mentor and hire PMs; foster a high-craft culture.
• Drive revenue, retention, and expansion through the data products portfolio.
• Define data access quality, schema design, and performance targets across warehouses.
• Engage directly with enterprise customers to inform roadmap priorities and success metrics.
• Collaborate with data engineering and infra on the Reporting Data Warehouse and pipeline architecture.
• Anticipate AI shifts and shape product surface for agentic data access and NLP reporting.
• Communicate strategy clearly to senior stakeholders across Product, Sales, and Finance.

Skills

Product leadership

Data products

SQL / data pipelines

Enterprise sales collaboration

Strategy communication

Tools

Snowflake

BigQuery

Redshift

Databricks

SQL

Job description

Stripe is seeking a seasoned Product Manager to lead Data Products, owning strategy and execution across Sigma, SDP, and related data offerings. You will guide a PM team and collaborate with engineering, design, sales, and customers to shape how merchants access and act on Stripe data.

The role emphasizes strategic signaling, data portability, and embedded analytics in a fast-evolving market. Strong leadership and data fluency are essential.