Microsoft
Principal Technical Program Manager - FDE
$143K–$304K
United States +8 · On-site · Principal · Full-time · Posted Oct 20, 2026
- Location
- United States
Redmond, WA
Mountain View, CA
Houston, TX
Austin, TX
Chicago, IL
Cambridge, MA
New York, NY
Atlanta, GA - Experience
- 6+ years in a relevant field; 3+ years managing cross-functional and/or cross-team projects. Preferred: 12+ years in a relevant field and 8+ years managing cross-functional and/or cross-team projects; 1+ year reading and/or writing code; 1+ years in customer-facing technical roles.
- Education
- Bachelor's Degree or equivalent experience.
- Visa sponsorship
- Microsoft is unable to sponsor a work visa for this role.
About the job
Leads end-to-end technical programs embedded with strategic customers, coordinating teams to deliver AI-powered cloud and data solutions with measurable business outcomes.
What you'll do
- Own customer programs from problem definition through co-engineering delivery and measurable outcomes.
- Use AI tools across the software development lifecycle and validate generated outputs for quality.
- Partner with multidisciplinary teams, manage risks and tradeoffs, and promote reusable solution patterns.
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.
Nice to have
- Bachelor's Degree and 12+ years of relevant experience, or equivalent experience; 8+ years managing cross-functional and/or cross-team projects.
- Experience reading and/or writing code, customer-facing technical roles, AI/ML, cloud architecture, data engineering, and AI workflows for engineering artifacts.
Pay
USD $142,800 - $274,800 per year (base salary); USD $188,000 - $304,200 per year (base salary)
Tools
AI, cloud, data, VS Code, GitHub, AI agents, AI/ML
AI focus
Applies AI tools across the software development lifecycle to accelerate requirements, create engineering artifacts, and deliver AI-powered cloud solutions; validates AI-generated outputs.
Model-written summary · the original posting is authoritative