Product Lead, Data Licensing

Responsibilities

• Own the data licensing product end-to-end, including packaging, target customers, pricing, and value proposition.
• Serve as the primary product counterpart to the Intercontinental Exchange (ICE) team, managing the joint roadmap and translating distribution requirements into product development.
• Define data products including real-time event probabilities, order book depth, trade prints, and historical archives, along with tiers and entitlements.
• Work with institutional clients—including hedge funds, banks, proprietary trading firms, and media—to identify consumption needs and inform the roadmap.
• Build the commercial narrative for prediction market data and equip distribution teams to communicate its value.
• Own pricing and packaging, including tier structures, licensing permissions, and deal structures for different client types.
• Partner with data engineering on feed architecture, latency, uptime SLAs, and delivery reliability.
• Work with legal and compliance on licensing terms, redistribution rights, and market data policy.
• Own program metrics, including licensing revenue, client adoption, and feed usage.
• Write thorough end-to-end documentation for sales, support, and product development.

Requirements

• 7+ years of experience in product management, market data, or a commercial role in financial data.
• Direct ownership of a revenue-generating product or program.
• Deep familiarity with how market data is packaged, licensed, and priced.
• Experience selling to or working with institutional clients such as hedge funds, banks, proprietary trading firms, or data vendors.
• Strong product judgment, including specification writing, roadmap prioritization, and scope management.
• Comfort serving as the commercial face of a product, including pricing conversations, client calls, and partner reviews.
• Technical fluency sufficient to collaborate with data engineers on feed design, latency, and delivery, and to read schemas independently.
• Ability to work independently and build a new program from the ground up.
• Genuine interest in prediction markets and the value of market-priced probabilities.

Nice-to-haves

• Experience at an exchange, market data vendor, index provider, or financial data platform.
• Experience launching a data product through a distribution or reseller partner.
• Familiarity with prediction markets, crypto, or on-chain data.

Benefits

• Competitive salary and equity.
• Unlimited PTO.
• Full health, vision, and dental coverage.
• 401(k) match.
• Hardware setup including a new MacBook Pro, display, and accessories.