Top Product Management Jobs in San Francisco, CA

Leads Minecraft’s creator monetization strategy, product direction, marketplace, Minecoins, payout systems, catalog strategy, and economic incentives. Builds and manages product teams, establishes ecosystem health metrics, partners cross-functionally across technology, finance, marketing, legal, and creator relations, and drives sustainable growth for players, creators, and the business.

Own product strategy and multi-year roadmaps for GPU back-end networking infrastructure supporting large-scale AI training and inference. Translate customer and workload needs into requirements, align engineering and supplier roadmaps, and manage products through qualification, launch, deployment, and lifecycle improvement. Drive cross-functional execution across networking, hardware and software engineering, datacenter infrastructure, operations, supply chain, finance, and customer teams while optimizing performance, reliability, cost, and deployment readiness.

Lead the user experience strategy, roadmap, and design direction for Microsoft’s internal capacity intelligence platform. Define data-rich interfaces, decision-support workflows, and agentic AI experiences for planners, operators, and executives. Partner with engineering, data science, and business stakeholders to prototype, validate, and launch solutions; establish agent behaviors and evaluation criteria; improve adoption, usability, trust, and decision quality; and simplify complex capacity planning and operational workflows.

Own product strategy, roadmap, and outcomes for onboarding AI capabilities into Microsoft’s platform. Lead intake, packaging, launch, distribution, lifecycle management, and production adoption while converting manual workflows and bespoke integrations into reusable platform primitives, automation, standards, and self-service paths. Partner with engineering, TPM, compliance, operations, and product teams on architecture, governance, dependencies, launch readiness, and measurable improvements in availability, throughput, reuse, and operational efficiency.

Lead the growth data product strategy: define core data models and metrics, instrument funnels, build the data foundation and LLM/agentic products, ensure correctness and adoption, unify definitions across teams, and retire duplicate reports.

Own end-to-end delivery of strategic Azure AI infrastructure capacity, including NeoCloud partnerships and large-scale GPU deployments. Build execution plans, operating models, metrics, risk controls, and leadership reporting across engineering, datacenter operations, networking, supply chain, finance, and external providers. Drive continuous improvement and develop AI-powered automation and agentic workflows to reduce operational toil, accelerate Dock-to-Live execution, and improve delivery predictability.

Owns the technical product strategy for interactive learning labs, focusing on lab architecture, reliability, security, and engineering efficiency. Partners with Microsoft engineering and lab hosting vendors to define requirements, prioritize roadmaps, reduce build and publish friction, and scale on-demand learning. Uses metrics and telemetry to improve lab health, provisioning success, defect rates, support burden, and cost per lab hour.