Our Mission As the world's number 1 job site•, our mission is to help people get jobs. We strive to cultivate an inclusive and accessible workplace where all people feel comfortable being themselves. We're looking to grow our teams with more people who share our enthusiasm for innovation and creating the best experience for job seekers. (•Comscore, Total Visits, March 2026) Day to Day Indeed's Marketplace Data Platform ( MDP ) is Indeed's ML feature platform and product data platform. Every day, you will be on a mission to accelerate AI/ML innovation, making ML effortless and data consistent across the entire ecosystem. Your impact scales to 665M+ job seekers, 20 million+ jobs, and 3.5M+ employers globally across 60+ countries. MDP owns the full ML feature lifecycle (ingestion, feature engineering, online and offline serving, monitoring, and governance) and is the source of truth for ML and product teams powering Search, Recommendations and more across Indeed, Glassdoor, and the broader Recruit network. As a Senior Product Manager on MDP , you will own the platform's data discovery, understanding and governance tooling as well as its economics - the systems that make data discoverable, trustworthy, and compliant, and the levers that bring cost and usage efficiency to the entire platform. You will define the vision, strategy, and multi-quarter roadmap for this area, partnering with engineering, UX, and science leadership. You will work closely with diverse clients across the Indeed ecosystem, anticipate their needs in a fast-moving market, and balance near-term demands against long-term platform health. Above all, you will drive economies of scale: capabilities and data assets built once and reused across product surfaces, governance that scales without slowing teams down, and clear visibility into platform cost and usage so investment follows ROI . Responsibilities + Define and own the vision, strategy, and multi-quarter roadmap for data discovery, understanding, and governance. + Engage clients and autonomously drive discovery across the Indeed ecosystem; balance customer needs, market dynamics, and business direction; anticipate evolving ML and GenAI patterns. + Design for interoperability across adjacent surfaces, APIs, and data contracts; drive alignment on shared dependencies. + Partner with engineering on architecture and capability decisions; balance customer value with scalability, latency, and cost. + Define and monitor adoption To view full details and how to apply, please login or create a Job Seeker account