The Foundry Inference & Training team builds the platforms, services, and operating mechanisms that power Microsoft’s rapidly growing AI model ecosystem. We enable developers and enterprises to discover, deploy, and run models with reliability, performance, efficiency, and scale—spanning model catalog and integrations, model serving and runtime services, experimentation and optimization, and the tooling that makes it easy to build on Foundry. We are looking for several Senior Product Managers who will own product strategy and execution for our model ecosystem and offerings, designing product shape for inferencing and training. As a Senior Product Manager for Foundry Inference & Training you’ll work at the intersection of AI infrastructure, model offerings, developer tooling, ecosystem partnerships, and product growth, collaborating closely with engineering, data science, finance, and go-to-market teams to deliver capabilities that drive adoption and measurable impact.

Own product strategy and roadmap across AI model training, inference, experimentation, and platform enablement, balancing near-term delivery with long-term scale

Translate customer needs and platform constraints into clear requirements and iterative delivery plans

Evolve model offerings across the Foundry portfolio, including onboarding and scaling partnerships with flagship providers, open-source ecosystems, and emerging model/tooling partners

Identify high-impact opportunities to grow adoption (internal and external), including solutions for regulated and highly governed environments

Drive developer-facing experiences - tooling, SDK workflows, documentation, and samples - so builders can integrate and ship on Foundry with low friction

Improve release and lifecycle mechanisms (packaging, automation, versioning, readiness) to scale delivery quality across a fast-moving platform

Define and track efficiency and growth metrics (utilization, cost, performance, adoption), and lead experimentation to validate hypotheses and drive optimizations

Partner with engineering/data science/finance to deliver programs that improve utilization and efficiency (including incentives/pricing concepts where relevant)

Drive alignment across engineering, design, finance, marketing, and partner teams; manage dependencies and unblock execution in ambiguous environments

Build crisp narratives and dashboards that support decision-making and keep stakeholders aligned on progress, tradeoffs, and outcomes