Senior Product Manager - Foundry Inferencing & Training (CoreAI - multiple roles)
$119.8k - $234.7kMicrosoft Corporation
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 withreliability, 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 whowill own product strategy and executionfor our model ecosystem and offerings, designing product shape for inferencing and training.As a Senior Product Manager for Foundry Inference & Training you'llwork at the intersection ofAI 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.
ResponsibilitiesProduct Strategy & Roadmap
Own product strategy and roadmap acrossAI model training, inference, experimentation, and platform enablement, balancingneartermdelivery withlongtermscale
Translate customer needs and platform constraints into clear requirements and iterative delivery plans
Model Ecosystem & Offerings
Evolve model offerings across the Foundry portfolio, including onboarding and scaling partnerships with flagship providers, open-source ecosystems, and emerging model/tooling partners
Identifyhigh-impact opportunities to grow adoption (internal and external), including solutions for regulated and highly governed environments
Developer Experience, Tooling & SDKs
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
Efficiency, Utilization & Experimentation
Define and track efficiency and growth metrics (utilization, cost, performance, adoption), and lead experimentation tovalidatehypotheses and drive optimizations
Partner with engineering/data science/finance to deliver programs that improveutilizationand efficiency (including incentives/pricing concepts where relevant)
Cross-Functional Execution & Communication
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
Qualifications
Required Qualifications
Bachelor's Degreeand 5+ yearsof experience in product/service/project/programmanagement or software development (or equivalent experience)
Other Requirements
Abilityto meet Microsoft,customerand/or government security screening requirements arerequiredfor this role. These requirements include but are not limited to the following specialized security screenings:
Microsoft Cloud Background Check: This position will berequiredto pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
Preferred Qualifications
Experience deliveringAI, cloud services, developer tools, or platform productsin fast-paced environments
Familiarity withmodel ecosystems(model providers, open-source tooling, LLM hosting, modelonboardingand lifecycle)
Experience applyingcompliance, privacy, safety, or governanceconsiderations in product design and launches
Strong analytical skills: defining metrics, running experimentation, and making data-driven tradeoffs
Background in platform/infrastructure domains (distributed systems, fleet efficiency, capacity/utilization, cost/perf optimization)
Exposure toGPUs or AI accelerators(or adjacent hardware/software stack considerations), including developer enablement for performance-oriented workloads
Experience with SDK delivery mechanics: packaging/distribution, documentation frameworks, CI/CD automation, and release readiness
Proven ability to influence cross-functional stakeholders and communicate clearly with senior leadership
Product Management IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $160,200 - $261,000 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
Product Management IC5 - The typical base pay range for this role across the U.S. is USD $142,800 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
$142.8k - $274.8k
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