| Microsoft Careers

Microsoft

Quick summary

Work type
On-site
Location
Redmond, WA
Salary
$139,900–$274,800 / yr
Posted
51 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $181k
This role $207k
$101k most similar roles pay here $293k

This role pays more than 76% of similar roles. Most pay $155,000–$207,350 — the shaded band above. At the midpoint, this role pays about $207k versus about $181k for comparable roles.

Based on 238 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 1103 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 985 roles with salary data.

Most-posted roles

View all roles at Microsoft

At a glance

TL;DR · | Microsoft Careers

As a Principal Technical Program Manager on GitHub’s Applied Science team for Copilot, you will lead the development of AI evaluation strategies and infrastructure to ensure that every product update is measured against real-world developer needs. You’ll partner with researchers to translate cutting-edge evaluation methods into production systems, deprecate outdated benchmarks, and design new adaptive testing frameworks. Additionally, you will build a community benchmark submission program and publish transparency reports on model performance in real workflows. Your responsibilities include designing multi-tier evaluation frameworks for rapid iteration and creating feedback-to-benchmark pipelines that convert user frustrations into actionable tests. You should have deep experience with AI/ML evaluation methodologies, software engineering workflows at scale, and managing cross-functional projects. This role requires expertise in machine learning, community program management, and the ability to navigate complex environments while influencing product decisions.

What you'll do

  • Partner with researchers to translate cutting-edge evaluation research into production systems.
  • Deprecate saturated benchmarks and design procedurally-generated code evaluations for models.
  • Build GitHub's community benchmark submission program and publish transparency reports.
  • Design multi-tier evaluation frameworks from automated suites to expert human evaluation.
  • Convert user feedback into candidate regression tests through systematic pipelines.
  • Establish evaluation as a first-class discipline with rituals, dashboards, and cadences.

What we're looking for

  • 5+ years of experience in technical program management or related field.
  • 2+ years managing programs in machine learning and AI/ML evaluation.
  • Deep firsthand experience with AI/ML evaluation methodologies including benchmark design, human evaluation frameworks, and automated scoring systems.
  • Personal experience using AI coding tools like Copilot daily, understanding developer perspectives on tool quality.
  • Understanding of software engineering workflows at scale and how AI integrates into these processes.
  • Experience managing community or open-source programs in a technical context.
  • Proven ability to navigate competing priorities and build commitment to common goals in ambiguous environments.

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