| Microsoft Careers

Microsoft

Quick summary

Work type
On-site
Location
WA
Salary
$116,900–$203,600 / yr
Posted
26 days ago
Closes
Nov 16, 2026
Nearby
99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $216k
This role $160k
$99k most similar roles pay here $280k

This role pays less than 90% of similar roles. Most pay $185,500–$246,150 — the shaded band above. At the midpoint, this role pays about $160k versus about $216k 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 1580 open roles on FindRole.

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

Most-posted roles

View all roles at Microsoft

At a glance

TL;DR · | Microsoft Careers

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The Group Finance Manager position at Microsoft’s Cloud Infrastructure finance team involves leading margin strategy and efficiency for the AI Foundry Platform. This senior-level role requires partnering with engineering teams to optimize model architecture and infrastructure efficiency, reducing unit costs of AI workloads to support competitive pricing and growth. Daily tasks include translating technical decisions into financial impact, optimizing total cost of ownership across various departments, and providing executive insights through data-driven narratives. The ideal candidate has extensive experience in finance within complex organizations, particularly in cloud or AI/ML economics, with proficiency in tools like SQL and Python for large-scale dataset analysis. This role demands a deep understanding of AI infrastructure costs and the ability to influence senior stakeholders effectively.

Skills

SQL Python Azure AWS Kubernetes Terraform CI/CD PostgreSQL Git Jira Confluence Google Cloud Platform Docker Prometheus Grafana AI/ML Infrastructure Economics Token Efficiency Caching Throughput Improvements GPU Utilization Model Optimization

What you'll do

  • Own margin strategy for AI Foundry Platform by leading GM% planning and performance tracking.
  • Drive model and infrastructure efficiency at scale to reduce unit cost of AI workloads.
  • Translate engineering decisions into financial impact by building frameworks that connect technical choices to costs and margins.
  • Optimize end-to-end cost of ownership across various teams to achieve structurally lower costs per unit of compute.
  • Lead demand, capacity, and investment planning to ensure effective deployment of capital with margin discipline.
  • Deliver executive insights through data-driven narratives to inform investment and prioritization decisions.

What we're looking for

  • Master's Degree in relevant field with 8+ years of finance experience or Bachelor's degree with 12+ years of experience.
  • Deep understanding of AI/infra cost drivers and unit economics.
  • Experience partnering with engineering on efficiency levers like model optimization and hardware utilization.
  • Proficient executive presence and ability to influence senior stakeholders across functions.
  • Analytical skills with experience in large-scale datasets using tools like SQL, Python.
  • Strategic mindset for demand, capacity, and TCO modeling in cloud businesses.

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