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Microsoft

Quick summary

Work type: On-site
Location: —
Salary: $119,800–$234,700 / yr
Posted: 60 days ago
Closes: Oct 13, 2026

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $199k

This role $177k

$106k most similar roles pay here $248k

This role pays less than 63% of similar roles. Most pay $176,450–$222,000 — the shaded band above. At the midpoint, this role pays about $177k versus about $199k for comparable roles.

Based on 240 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 1580 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 1408 roles with salary data.

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At a glance

TL;DR · | Microsoft Careers

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As a Senior Product Manager on the Foundry Inference & Training team at Microsoft, you will lead product strategy and execution for AI model training, inference, experimentation, and platform enablement, focusing on developer tooling, SDKs, and ecosystem partnerships. Your day-to-day involves translating customer needs into clear requirements, driving iterative delivery plans, and improving release mechanisms to ensure low-friction integration with Foundry’s fast-moving platform. You will work closely with engineering, data science, finance, and go-to-market teams to deliver capabilities that enhance adoption and efficiency across regulated environments. The role requires experience in AI, cloud services, developer tools, and platform products, along with strong analytical skills for defining metrics and running experiments. Familiarity with model ecosystems, compliance considerations, and GPU/AI accelerator enablement is preferred, as well as the ability to influence cross-functional stakeholders and communicate effectively with senior leadership.

Skills

AI cloud services developer tools platform products model ecosystems compliance privacy safety governance metrics experimentation distributed systems fleet efficiency capacity utilization cost optimization GPUs AI accelerators SDK delivery packaging documentation frameworks CI/CD release readiness

What you'll do

Own product strategy and roadmap for AI model training, inference, and platform enablement.
Evolve model offerings by onboarding and scaling partnerships with various providers and ecosystems.
Drive developer-facing experiences including tooling, SDK workflows, documentation, and samples.
Define and track efficiency metrics to validate hypotheses and drive optimizations in utilization.
Manage cross-functional dependencies and build narratives for decision-making and stakeholder alignment.

What we're looking for

5+ years of product/service/project management or software development experience.
Bachelor’s Degree in a relevant field (or equivalent experience).
Experience delivering AI, cloud services, developer tools, or platform products.
Familiarity with model ecosystems including providers and open-source tooling.
Strong analytical skills for defining metrics and running experiments.
Background in platform/infrastructure domains like distributed systems and fleet efficiency.
Proven ability to influence cross-functional stakeholders and communicate effectively.

Hybrid

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