Product Manager II

This position is based in Tokyo, Japan, and requires on-site relocation. Comprehensive relocation support and visa sponsorship are available for eligible candidates, subject to standard legal and immigration approval.

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)

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 Product Manager on MDP, you will be the bridge between the platform's data and the many teams that depend on it. You will work closely with clients across Indeed who need to interact with a data domain - job seekers, jobs, employers, candidates, or model new data domains as new use cases emerge. You will run deep discovery across a diverse set of product experiences, many with ML use cases, each with its own trade-offs in performance, latency, and cost.

You will translate what you learn into clear requirements, partnering with engineering on how data is modeled and served so every client can build on it with minimal friction.

• Own the roadmap, backlog, and execution plan for a defined product area within MDP.
• Partner with clients across Indeed who consume platform data to learn and support how each team interacts with a data domain.
• Run discovery across diverse product experiences - surface ML use cases and performance, latency, and cost trade-offs.
• Partner with engineering on data-domain capabilities spanning job seekers, jobs, employers, candidates, and future domains.
• Reduce adoption friction by investing in self-serve tooling, documentation, and discoverability for teams building on platform data.
• Define and track adoption and satisfaction across the experiences you support; drive post-launch fixes.
• Communicate clearly to cross-functional partners and leadership;
  ** escalate
  * * cross-team trade-offs to senior partners.

• Requires a minimum of 10 years of related experience; or a minimum of 8 years of related experience with a Bachelor’s degree; or 6 years and a Master’s degree; or a PhD with 3 years experience.
• Technical background with an excellent understanding of software development teams and how ML engineers, applied scientists, and data analysts work, with a focus on delivering an exceptional developer experience for teams building products on platform capabilities.
• Product management experience supporting data platforms, feature platforms, or ML infrastructure, or working in close partnership with teams responsible for those technologies.
• Proven discovery skills, including gathering requirements across multiple teams and translating ambiguity into clear problem statements, priorities, and product direction.
• Working knowledge of the ML lifecycle, feature platform concepts, and the use cases enabled by data, feature, and ML infrastructure platforms.
• Understanding of platform trade-offs, including performance, latency, scalability, and cost, and…