Group Finance Manager, Core AI

Microsoft

Quick summary

Work type
On-site
Location
US
Salary
$116,900–$203,600 / yr
Posted
38 days ago
Closes
Nov 16, 2026

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $215k
This role $160k
$100k most similar roles pay here $277k

This role pays less than 86% of similar roles. Most pay $183,375–$246,150 — the shaded band above. At the midpoint, this role pays about $160k versus about $215k 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 622 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 571 roles with salary data.

Most-posted roles

View all roles at Microsoft

At a glance

TL;DR · Group Finance Manager, Core AI

The Group Finance Manager position at Microsoft’s Cloud Infrastructure finance team is aimed at a senior professional to lead margin strategy and efficiency for the AI Foundry Platform. This high-impact role involves partnering with engineering and product teams to drive model and infrastructure efficiency, reducing unit costs of AI workloads through optimization across architecture, inference, and compute utilization. Day-to-day responsibilities include translating engineering decisions into financial impact, optimizing end-to-end cost of ownership, and leading demand and capacity planning to ensure effective capital deployment. The ideal candidate will have a deep understanding of AI/infra cost drivers and proficiency in tools like SQL and Python for large-scale data analysis. Experience in cloud, AI/ML, or infrastructure economics is preferred, as the role requires influencing roadmap decisions and delivering executive insights to support growth with margin discipline.

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 model parameters to costs.
  • 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 capital is deployed effectively with margin discipline.
  • Deliver executive insights through data-driven narratives to inform senior leadership on financial outcomes.

What we're looking for

  • Master's Degree in Finance, Accounting, or related field with 8+ years of experience.
  • Bachelor's Degree in Finance, Accounting, or related field with 12+ years of experience.
  • Progressive experience in finance, pricing, analytics within a complex global organization.
  • Proficient executive presence and business partnership skills to influence stakeholders.
  • Deep understanding of AI/infra cost drivers including compute, storage, networking costs.
  • Experience partnering with engineering on efficiency levers like model optimization, throughput improvements.
  • Analytical and technical skillset with experience in large-scale datasets and tools like SQL, Python.

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