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Senior Product Manager, AI Data and Systems Platform

Google· People Operations (POps) Engineering – AI Data and Systems
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Hybrid (San Jose, CA, USA)$192k - $278kFull-timePosted 1w ago

About the role

Senior Product Manager responsible for guiding upstream product strategy and long-term goals for Google’s internal AI-native enterprise transformation, owning a foundational pillar of the AI platform that enables reusable agentic capabilities, enterprise people data products, developer experiences, and automated evaluation frameworks.

Responsibilities

  • Drive the upstream product strategy, multi-quarter goals, and roadmap for a horizontal AI platform pillar (e.g., multi-agent orchestration, enterprise people data products, or agentic evaluation and developer experience lifecycle).
  • Identify high-impact employee and developer problems across product areas, translating shared needs into reusable platform products, intuitive self-serve capabilities, and measurable portfolio ROI.
  • Partner with engineering and vertical product leaders to define clear product boundaries between horizontal platform capabilities and domain-specific applications, advocating a 'build once, reuse everywhere' product philosophy.
  • Collaborate with Data Science, Security, Privacy, and Legal partners to establish empirical product quality standards—replacing manual launch reviews with automated evaluation frameworks, auto-raters, and built-in safety guardrails.
  • Lead cross-organizational product alignment with partner teams across Google (including Cloud and Core AI), guiding build-vs-buy product decisions that eliminate duplication and accelerate time-to-value.

Qualifications

  • Bachelor's degree or equivalent practical experience.
  • 8 years of experience in product management or a related technical role.
  • 3 years of experience taking technical products from conception to launch (e.g., ideation to execution, end-to-end, 0 to 1).
  • Experience integrating generative AI tools or LLM interfaces into workflows.
  • Experience managing AI/ML or generative AI products, including: agentic workflows, model optimization, and retrieval/evaluation frameworks.

Skills

Required:Product managementAI/ML product leadershipCross-functional collaboration
Last updated Oct 23, 2026. Interested? Apply on the company site.

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