Principal Product Manager - Foundry Inferencing & Training (CoreAI - multiple roles) | Microsoft Careers

Microsoft

Quick summary

Work type
On-site
Location
—
Salary
$142,800–$274,800 / yr
Posted
51 days ago
Closes
Oct 12, 2026

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $204k
This role $209k
$127k most similar roles pay here $291k

This role pays more than 56% of similar roles. Most pay $176,625–$230,500 — the shaded band above. At the midpoint, this role pays about $209k versus about $204k for comparable roles.

Based on 239 similar postings.

Employer

About Microsoft

Microsoft Corporation is a global technology leader producing software, hardware, and cloud services including Windows, Office 365, Azure cloud platform, Xbox gaming, and Surface devices. Industry: Software & Cloud Computing

Microsoft currently has 598 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 547 roles with salary data.

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TL;DR · Principal Product Manager - Foundry Inferencing & Training (CoreAI - multiple roles) | Microsoft Careers

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Principal Product Managers are sought after by Microsoft Foundry’s AI Models & Training team to shape and deliver cutting-edge AI capabilities at global scale. These senior leaders will own the product strategy and roadmap, driving initiatives from research through production while ensuring high-quality platform experiences for internal teams and customers. Day-to-day responsibilities include managing complex multi-quarter projects, defining metrics for system performance, and fostering cross-functional collaboration with engineering, data science, and infrastructure teams. Ideal candidates possess strong technical fluency, experience in AI/ML platforms, and a proven track record of delivering large-scale cloud services or AI-powered products. The role demands expertise in model training systems, inference infrastructure, experimentation frameworks, and familiarity with cloud infrastructure such as GPUs and distributed computing environments.

Skills

AI/ML platforms model training systems inference infrastructure experimentation frameworks cloud infrastructure distributed systems GPUs compute fleets data pipelines CI/CD Kubernetes AWS Azure Google Cloud Terraform Python PostgreSQL Docker Prometheus Grafana

What you'll do

  • Own product strategy and roadmap for AI model training, inference, and experimentation.
  • Drive initiatives to bring new AI capabilities from research into production.
  • Enable internal teams and customers to access and adopt models through high-quality platforms.
  • Lead complex multi-quarter initiatives with high visibility across engineering teams.
  • Define and track metrics for efficiency, performance, reliability, and adoption of AI systems.
  • Act as a connective leader across engineering, data science, and infrastructure teams.

What we're looking for

  • 8+ years of experience in product management, technical program management, software engineering, or related fields.
  • Proven ability to lead product strategy and execution in complex, cross-functional environments.
  • Strong technical fluency with AI/ML platforms, model training systems, and inference infrastructure.
  • Excellent communication skills for executive-level influence and decision framing.
  • Experience delivering large-scale cloud services or AI-powered products.
  • Familiarity with cloud infrastructure and distributed systems like GPUs and data pipelines.
  • Track record of launching and scaling complex products with measurable impact.

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