Product Lead, Data Products

at Stripe

USD 268,000-402,000 per year

SENIOR

✅ On-site

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

AI API @ 7 BI @ 7 Communication @ 9 Data Engineering Databricks @ 4 FinTech @ 4 Leadership @ 6 Payments @ 3 Product Management @ 8 SQL @ 6 Snowflake @ 4

Details

Stripe is a financial infrastructure platform used by businesses to accept payments, grow revenue, and accelerate new business opportunities.

About the Team

The Data Products team builds products that turn Stripe's transaction data into understanding and action. These products include Sigma for SQL-powered analytics, Stripe Data Pipeline for delivering Stripe data to merchants' warehouses and applications, and databases that surface insights within the Stripe Dashboard.

The team's users range from founders running revenue reports to enterprise finance teams reconciling millions of transactions across multiple markets, as well as agents working on behalf of merchants.

Responsibilities

Own the product strategy and execution for Stripe's merchant-facing data portfolio.
Define the multi-year vision and roadmap across Sigma, Stripe Data Pipeline, and other data products.
Lead, manage, mentor, and hire Product Managers while building a high-caliber team culture.
Drive revenue and retention outcomes through data products in enterprise sales and self-service motions.
Define product quality across schema design, query performance, delivery reliability, latency SLAs, and integrations with third-party warehouses.
Partner directly with enterprise customers to understand their use of Stripe data and incorporate those insights into the roadmap.
Work with data engineering and infrastructure teams on the Reporting Data Warehouse and data pipeline architecture.
Identify how AI-native workflows, including agentic data access, natural-language querying, and automated reporting, should shape the product over the next two to three years.
Write strategy documents, influence senior stakeholders across Product, Sales, and Finance, and represent Data Products at the leadership level.

Requirements

10+ years of product management experience, including experience leading or managing Product Manager teams of five or more.
Deep expertise in data products, with experience shipping at least one of the following: a BI or analytics tool, a data integration product, a warehouse connector, or a developer data API.
Strong commercial intuition and understanding of how data products drive enterprise deal velocity, expansion, and retention.
Experience working closely 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.
Strong ownership instincts and the ability to move quickly while remaining accountable for outcomes.
Ability to align stakeholders across engineering, enterprise sales, customer success, finance, and legal.

Nice to Have

Experience building products on or integrating with Snowflake, BigQuery, Redshift, or Databricks.
Familiarity with Stripe's data model and merchant analytics needs, including payments, disputes, revenue recognition, and reconciliation.
A background in fintech or payments, including experience with multiple payment methods, currencies, and regulatory regimes.