Product Manager Data Products

About the role

Polymarket operates the world's largest prediction market, generating unique real-time probability data from thousands of events. This role involves transforming this raw data into valuable, packaged products for institutional clients. You will be the first dedicated Product Manager for data products, working within the Data team to drive commercialization.

Key facts

What you'll do

• Define and prioritize the data product roadmap in collaboration with engineering, balancing client needs and development effort.
• Engage directly with institutional clients, such as hedge funds and quant firms, to understand their data requirements and translate these into product roadmaps.
• Collaborate with liquidity and sales teams on client outreach, assisting with pitches and informing deal structures and pricing.
• Manage the complete lifecycle of external data products, including APIs, data feeds, and custom datasets, from initial concept to client integration.
• Develop pricing models and packaging strategies that reflect the commercial value of Polymarket's data.
• Identify opportunities to create derived or aggregated signals from raw market data that offer enhanced utility to institutional buyers.
• Monitor client usage of data products post-launch, collect feedback, and incorporate it into future product development.

Requirements

• Proven experience in packaging raw data into commercial data products for external clients, not just internal tools.
• Direct experience collaborating with institutional or fund clients, including hedge funds, quant shops, or systematic trading firms.
• Strong technical understanding of data infrastructure, including schema design, API architecture, and data pipeline fundamentals.
• Demonstrated history of delivering external-facing APIs or data feeds from specification to production.
• Experience working with sales or partnerships teams to define, pitch, and close data product agreements.
• Ability to quickly identify valuable extracts, derivations, or packages from raw datasets for paying clients.

Nice to have

• Familiarity with financial market data products, alternative data vendors, or the data landscape for funds.
• Experience with pricing and structuring data licensing agreements.
• Prior exposure to prediction markets, betting markets, or probabilistic data.

Skills & tools

• Data infrastructure
• API architecture
• Data pipeline fundamentals

Practical notes

• Benefits include unlimited paid time off, full health, vision, and dental coverage, and 401k matching.
• Hardware setup includes a new MacBook Pro, large display, and accessories.