Product Manager II

Summary

Indeed is a global job site focused on helping people get jobs. The Product Manager II will own a defined product area within the Marketplace Data Platform, driving roadmap execution and partnering with clients and engineering teams to deliver data-domain capabilities, ML use cases, self-serve tooling, and strong platform adoption.

Responsibilities

• 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

Skills

• 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 the ability to apply those considerations to product decisions
• Excellent written and verbal communication skills in English, a data-driven mindset, comfort operating in ambiguous environments, and working knowledge of privacy and data governance frameworks, including PII, GDPR, and CCPA
• Those with military experience are encouraged to apply
• Equivalent expertise demonstrated through a combination of work experience, training, military experience, or education is welcome

Qualifications

Must Haves

• 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 the ability to apply those considerations to product decisions
• Excellent written and verbal communication skills in English, a data-driven mindset, comfort operating in ambiguous environments, and working knowledge of privacy and data governance frameworks, including PII, GDPR, and CCPA
• Those with military experience are encouraged to apply
• Equivalent expertise demonstrated through a combination of work experience, training, military experience, or education is welcome

Benefits

• Quarterly bonuses
• Restricted Stock Units (RSUs)
• A Paid Time Off policy
• Many region-specific benefits