Principal Technical Program Manager- AI Infrastructure at Microsoft
Redmond, WA
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Aug 9, 2026
Redmond, WA
Sep 24, 2026
What this job asks for AI summary
A Technical Program Manager role focused on end-to-end delivery of platform and AI infrastructure programs — spanning hardware/software co-development, system bring-up, performance benchmarking, and cross-functional dependency management. The role bridges infrastructure, research, and product teams, requiring experience driving complex platform programs through early development phases and into production readiness.
Senior level · 8+ years
We read this from the posting text with AI. Skim the description below before ruling yourself out.
Why we read it this way (6)
The degree requirement states 'Bachelor's Degree AND 8+ years experience … OR equivalent experience' — because equivalent experience is explicitly accepted in lieu of the degree, the degree requirement is set to None.
The 8-year floor is stated as a combined requirement across engineering, product/technical program management, data analysis, or product development — it is a role-level experience gate, not tied to a single named technology.
The role sits between a senior individual-contributor TPM (15-1299) and a people-management/director track (11-3021). The posting describes no direct reports or budget ownership, so it is classified as an IC TPM under 15-1299, with 11-3021 as the runner-up.
AI training/inference workloads and performance optimization appear in a context describing the ability to 'influence technical discussions' rather than as hard technical gates, so they are marked preferred.
'Technical program management' and 'cross-functional project management' are listed as skills here to capture the explicit years-demanded figures stated in the posting; they are role-level competencies rather than named tools, but the specific year requirements make them worth surfacing.
Ignored 5 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): technical program management, cross-functional project management, hardware/software co-development, AI training/inference workloads, performance optimization.
Read the full posting
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