Senior Product Manager, AI Data and Systems Platform

Urban Ridge Supplies•New York, NY

7d•$192,000 - $278,000

About The Position

As a Senior Product Manager on Google’s AI Data and Systems team within People Operations (POps) Engineering, you will drive upstream product strategy and long-term goals for Google’s internal “Customer Zero” transformation into an AI-native enterprise. You will own a foundational pillar of the shared AI platform, spanning reusable agentic capabilities, enterprise people data products, developer experiences, and automated evaluation frameworks that support teams across Hiring, Onboarding, Talent, Learning, and HR Support. With a Platform-as-a-Product mindset, you will identify high-leverage user and developer problems across the portfolio, define multi-quarter roadmaps, and establish product boundaries that maximize reuse. Working with engineering, Data Science, UX, and vertical product leaders, you will advance empirical, automated product governance and deliver measurable value for more than 180,000 Googlers. You will also lead cross-organizational alignment and guide build-versus-buy decisions with partner teams across Google, including Cloud and Core AI.

Requirements

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, such as ideation through execution or 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.

Nice To Haves

Master's degree in a technology- or business-related field.
5 years of experience working cross-functionally with engineering, UX/UI, sales finance, and other stakeholders.
Experience defining product roadmaps for APIs, SDKs, enterprise data products, or developer tooling.
Experience partnering with Data Science, Privacy, Security, and Legal teams to establish empirical, automated product governance using online/offline evaluation pipelines, auto-raters, latency/token budgets, and automated guardrails.
Experience aligning executive product and engineering leaders across organizational boundaries, defining platform-versus-application boundaries, driving “build once, reuse everywhere” adoption, and evaluating build-versus-buy trade-offs.

Responsibilities

Drive upstream product strategy, multi-quarter goals, and roadmaps for a horizontal AI platform pillar, such as multi-agent orchestration, enterprise people data products, or agentic evaluation and developer experience.
Identify high-impact employee and developer problems across product areas and translate shared needs into reusable platform products, self-serve capabilities, and measurable portfolio return on investment.
Partner with engineering and vertical product leaders to define boundaries between horizontal platform capabilities and domain-specific applications, promoting a “build once, reuse everywhere” approach.
Collaborate with Data Science, Security, Privacy, and Legal partners to establish empirical product quality standards, 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, and guide build-versus-buy decisions to eliminate duplication and accelerate time-to-value.