About The Position
Microsoft Foundry sits at the center of Microsoft’s AI strategy, powering how models are trained, evaluated, launched, and operated at global scale. Within CoreAI, the AI Models & Training organization is responsible for the platforms, infrastructure, and execution systems that turn cutting‑edge research into reliable, production‑ready AI capabilities. We are looking for several Principal Product Managers to define our model ecosystem and offerings, to design product shape for inferencing and training. These roles operate at the intersection of model training, inference, experimentation, infrastructure, and developer platforms, and partner closely with engineering, research, data science, and leadership to deliver impact at scale. These are highly cross‑functional roles, best suited for product leaders who thrive in ambiguity, bring strong technical fluency, and can translate complex systems into clear strategy, priorities, and outcomes.
Requirements
- Bachelor’s Degree and 8+ years of experience in product management, technical program management, software engineering, or related technical fields (or equivalent experience)
- Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.
- Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
Nice To Haves
- Proven ability to lead product strategy and execution in highly technical, ambiguous, cross‑functional environments
- Strong technical fluency and ability to partner deeply with engineering, infrastructure, or research teams
- Excellent written and verbal communication skills, including executive‑level influence
- 10+ years of experience delivering large‑scale platforms, cloud services, or AI‑powered products
- Experience with AI/ML platforms, model training systems, inference infrastructure, or experimentation frameworks
- Familiarity with cloud infrastructure and distributed systems (e.g., GPUs, compute fleets, data pipelines)
- Track record of launching and scaling complex products with measurable business or platform impact
- Ability to operate as a force multiplier in fast‑paced, high‑stakes environments
Responsibilities
- Own product strategy and roadmap across AI model training, inference, experimentation, and platform enablement, balancing near‑term delivery with long‑term scale
- Maintain end‑to-end accountability from concept through launch, iteration, and measurable impact
- Drive initiatives across the AI model lifecycle, partnering with engineering and research to bring new capabilities from research into production
- Enable internal teams and customers to access, integrate, and adopt models through high‑quality platform experiences
- Lead complex, multi‑quarter initiatives with high visibility, managing dependencies, risks, and tradeoffs across teams
- Improve execution velocity by reducing friction in planning, experimentation, launches, and iteration cycles
- Define and track metrics for efficiency, performance, reliability, and adoption, using experimentation and data to drive decisions
- Identify opportunities for automation, simplification, and continuous improvement as systems scale
- Act as a connective leader across engineering, data science, research, infrastructure, and go‑to‑market teams
- Influence senior stakeholders through clear decision framing, executive‑ready narratives, and data‑backed recommendations
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What This Job Offers
Job Type
Full-time
Career Level
Principal
Number of Employees
5,001-10,000 employees
