Product Manager, AI Data and Systems Platform

Google•San Jose, CA

4d•$163,000 - $236,000

About The Position

As a Product Manager on the AI Platform and People Data team within People Operations Engineering, you will own a core product surface of Google’s shared enterprise AI and data platform. You will define and deliver foundational capabilities spanning generative AI and agentic tooling, enterprise people data products, developer SDKs, and model evaluation frameworks that power employee-facing applications across Google. You will bring a Platform-as-a-Product mindset and strong business judgment, treating internal product and engineering teams as primary customers while keeping value for Googlers in focus. In partnership with Engineering, Data Science, and UX, you will identify shared needs across the portfolio, deliver intuitive self-serve capabilities, and drive measurable improvements in product quality, reliability, and delivery velocity. Google Product Managers guide products from conception to launch by connecting technical and business considerations, breaking complex problems into actionable steps, and working cross-functionally throughout the execution cycle. Corp Eng builds business solutions and provides end-to-end tools, platforms, and experiences for Googlers.

Requirements

Bachelor’s degree or equivalent practical experience.
5 years of experience in product management or a related technical role.
2 years of experience taking technical products from conception to launch, such as ideation to execution, end-to-end, or 0 to 1.
Experience managing AI/ML, generative AI, developer platform, or enterprise data products, including experience with LLM/agentic patterns, data foundations, and model evaluation methodologies.

Nice To Haves

Master’s degree in a technology- or business-related field.
Experience with Platform-as-a-Product, translating developer and business needs into clear PRDs and roadmaps for APIs, SDKs, data products, or shared platform services.
Experience partnering with Data Scientists and engineers to establish data-driven product metrics, evaluation frameworks, service-level objectives (SLOs), and responsible AI guardrails.
Experience collaborating across multiple product and engineering teams to identify common needs, advocate platform reuse, and iterate based on customer feedback.
Experience in organizations, ensuring platform investments solve real enterprise problems and deliver measurable adoption and return on investment (ROI).

Responsibilities

Own product strategy, roadmap, and end-to-end execution for a core enterprise AI or data platform capability, such as agentic workflow tooling, developer SDKs, foundational data products, or automated AI evaluation frameworks.
Translate ambiguous business, user, and developer needs into clear product requirements documents (PRDs), defining product capabilities, API/SDK experiences, quality benchmarks, and performance targets.
Deliver self-serve tools, starter kits, and product documentation that make it easy for internal application teams to adopt shared platform capabilities and provide a seamless developer experience.
Partner with Data Science, Privacy, Security, and Engineering teams to define product telemetry, evaluation metrics, and built-in safety and compliance guardrails.
Collaborate with partner product teams to understand user pain points, prioritize the platform backlog, and drive adoption of reusable platform products across the portfolio.