Drive the upstream product strategy, multi-quarter goals, and roadmap for a horizontal AI platform pillar—such as multi-agent orchestration, enterprise people data products, or the 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 return on investment (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.
Job description provided by Google.
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