Drimva

Microsoft

Principal Technical Program Manager

$143K–$304K

Redmond, WA +4 · On-site · Principal · Full-time · Posted Oct 29, 2026

Location
Redmond, WA
Mountain View, CA
Hillsboro, OR
Raleigh, NC
Austin, TX
Experience
6+ years in a qualifying field; 3+ years managing cross-functional and/or cross-team projects. Preferred: 8+ years in engineering, technical program management, data analysis, silicon development, or product development.
Education
Bachelor's Degree or equivalent experience. Preferred: relevant bachelor's or master's degree.

About the job

Leads cross-organizational Silicon and Systems programs that integrate secure, responsible AI capabilities into development workflows and improve execution across SCHIE.

What you'll do

  • Lead interdependent programs, aligning stakeholders and owning governance, risks, schedules, and delivery.
  • Develop strategy, operating models, metrics, and standards for AI-enabled silicon development and internal platforms.
  • Advise senior leaders, mentor senior TPMs, and use AI tools to create program reports, dashboards, and other artifacts.

What they ask for

  • Bachelor's Degree and 6+ years of experience in engineering, product/technical program management, data analysis, or product development, or equivalent experience.
  • 3+ years of experience managing cross-functional and/or cross-team projects.
  • Ability to meet Microsoft, customer, and/or government security screening requirements, including the Microsoft Cloud Background Check.
  • Meet the stated eligibility and verification requirements for access to export-controlled information.

Nice to have

  • Experience owning strategy and execution for large-scale, cross-organizational programs with executive stakeholders.
  • Technical depth in silicon and systems development, architecture, design tradeoffs, and program management mechanisms.

Pay

USD $142,800 - $274,800 per year (base pay); USD $188,000 - $304,200 per year (base pay)

Tools

AI/ML, Azure

AI focus

Integrates AI into silicon development workflows and supports enterprise-scale secure, responsible AI adoption; uses AI tools to create program artifacts.

Model-written summary · the original posting is authoritative

First seen Oct 15, 2026 · Last verified Nov 4, 2026 (UTC)