Redmond, WA

Salary
—
Posted
Aug 9, 2026
Location
Redmond, WA
Last confirmed open
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

Must have (1)
platform bring-up

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.

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