Principal Product Manager, AI Platform at Angi
Denver, CO
$190,000–$280,000from the description
Aug 3, 2026
Denver, CO
Sep 24, 2026
What this job asks for AI summary
This is a Principal Technical Product Manager role owning the vision, strategy, and roadmap for an internal AI Platform — a shared, governed gateway through which all model and agent workloads at the company run. The role spans AI gateway and cost governance, evaluation and quality enforcement, agent trust-and-autonomy frameworks, and LLM/ML serving infrastructure. It suits a deeply technical PM with a background in infrastructure or ML/AI platform products who can partner closely with engineering and data science teams.
Senior level · 8+ years · Remote · Full-time
Advertised as Principal, but the requirements read as Senior.
Quick apply — this platform usually takes a CV and a few fields.
“or” means any one of them counts — you don't need all of them.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
What the occupation pays Median $119,144 (middle half $81,115–$160,963). This posting is about at that midpoint.
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Aug 5, 2026. It is a model, not a headcount.
Why we read it this way (7)
This role is a Technical Product Manager, not a software engineer or engineering manager. 15-1299 (Computer Occupations, All Other) is the closest SOC fit; 11-3021 (Computer and Information Systems Managers) is a plausible alternative given the strategic ownership and cross-functional leadership scope, though the role has no stated direct reports.
The posting is fully remote (#LI-Remote) with no stated geographic restriction beyond a note that compensation may vary by location.
The '4+ years focused on infrastructure, platforms, ML/AI systems' requirement is a sub-requirement of the 8+ year overall PM experience gate — both are captured; the 4-year figure is reflected on the ML/AI platform skill.
KServe, SageMaker, Bedrock, and Ray are listed together as interchangeable examples of model serving frameworks under Preferred Qualifications; they are grouped as alternatives accordingly.
Several required skills (API gateways, model serving, evaluation frameworks, Kubernetes, telemetry) are stated as areas of 'technical fluency' the candidate must have — they function as hard gates even though no specific product is named. Generic concept labels were used only because the posting itself names no specific tool in those categories under requirements.
The title says 'Principal' but the scope — owning one platform team's roadmap with no stated org-wide or multi-team architectural authority — is consistent with a Senior-level role on most career ladders.
Ignored 5 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): Product Management, ML/AI platform product management, telemetry and cost analytics, prompt management, agent governance.
Read the full posting
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