Top Product Management Jobs in San Francisco, CA

Own the long-term strategy, roadmap, and cross-organizational execution for AI agent authoring and lifecycle experiences. Define unified capabilities for creation, publishing, evaluation, observability, governance, versioning, operations, and support across Microsoft platforms. Use customer research, telemetry, market intelligence, and AI insights to prioritize investments and improve product outcomes. Lead complex product and architecture decisions while aligning executives, engineering, design, marketing, and partner teams.

Own the strategy, design, launch, scaling, and lifecycle management of commercial offers for regulated and sovereign markets. Translate regulatory, customer, and operational requirements into scalable offerings, pricing, packaging, support models, and delivery frameworks. Partner cross-functionally with engineering, finance, sales, delivery, security, legal, marketing, and customer success. Drive market insights, AI-enabled innovation, portfolio economics, compliance by design, field readiness, adoption, and operational execution across commercial and government cloud environments.

Owns end-to-end delivery of large-scale GPU and AI infrastructure programs, from capacity planning and contractual commitments through deployment, validation, and production handoff. The role coordinates engineering, supply chain, datacenter, networking, finance, operations, customers, and strategic partners. Responsibilities include roadmap and milestone management, risk mitigation, executive communication, process automation, telemetry, AI-powered workflow improvements, and resolving cross-functional delivery bottlenecks.

Drive strategy and execution for AI-based data and collaboration platforms supporting Microsoft’s cloud supply chain. Define product vision, prioritize requirements, manage feature delivery, evaluate platform performance, and coordinate engineering, stakeholders, external partners, suppliers, and system integrators. Ensure products meet business objectives and are delivered within scope, budget, and schedule while enabling governed data and agentic AI capabilities.

Own the strategy and roadmap for catalog APIs powering AI commerce experiences. Lead catalog coverage, quality, ingestion, data rights, partner onboarding, metrics, and evaluation programs. Partner with engineering, applied science, legal, privacy, security, and external partners to improve product identity, taxonomy, pricing, availability, freshness, and API adoption. This senior individual contributor role requires independently leading large engineering teams, making strategic tradeoffs, and driving execution across organizational boundaries.

Own the vision, strategy, roadmap, and backlog for an AI agent and intelligent platform. Translate transformation delivery capabilities into reusable agents, accelerators, connectors, templates, and measurable tooling. Partner with engineering, architecture, governance, and change teams to define and ship platform features using Microsoft AI technologies. Establish telemetry, security, compliance, adoption, and value metrics while enabling delivery teams and customers to operate and extend the platform independently.

Owns product strategy and roadmap for Azure PaaS and Serverless services. The role requires understanding developer and enterprise needs, translating insights into requirements, partnering with engineering and design, and driving products from discovery through launch and adoption. Responsibilities include customer research, telemetry analysis, prioritization, cross-functional alignment, competitive analysis, go-to-market planning, and ensuring security, scalability, reliability, usability, and cost efficiency.

Owns strategic product and platform blocker resolution for Microsoft Fabric adoption. Translates customer and field scenarios into engineering requirements, influences roadmap priorities, coordinates engineering, product, support, services, and go-to-market teams, and develops workarounds and mitigation plans. Communicates risks and progress to senior leaders while quantifying adoption, revenue, and competitive impact. The role requires strong data and analytics platform knowledge, enterprise architecture familiarity, and go-to-market experience supporting strategic customer engagements.

Lead the user experience strategy and roadmap for Microsoft's internal capacity intelligence platform. Define data-rich interfaces, decision-support workflows, and agentic experiences for planners, operators, and executives. Partner with engineering, data science, and business stakeholders to simplify complex workflows, establish design standards, build prototypes, measure adoption and decision quality, and deliver trusted AI-powered production experiences.

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.