Lead, AI Platform & Governance (Remote)

Angi

Denver (CO)

On-site

USD 190,000 - 280,000

Full time

14 days+

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Benefits offered by this job

Full medical dental vision
Year-end bonus
Equity package
401K retirement match

Job summary

Angi is seeking a Principal Technical Product Manager to own the AI Platform, including a model-agnostic gateway, eval-driven governance, and self-hosted model serving. You will drive the strategy and roadmap across product engineering and data science to enable scalable, compliant AI workloads at Angi.

You will lead cross-functional teams to deliver measurable improvements in product quality and usage, balancing cost, quality, and speed across initiatives.

Qualifications

  • 8+ years in Product Management, with 4+ years on infrastructure/platforms or ML/AI internal products.
  • Proven track record scaling technical platforms for internal customers.
  • Technical fluency across AI/ML stack: model serving, APIs, eval/testing, cloud/Kubernetes.

Responsibilities

  • Own vision and roadmap for AI Platform: model-agnostic gateway, cost attribution, guardrails.
  • Define eval engine, prompt management, and per-agent accuracy scoring.
  • Lead trust and autonomy ladder, enabling controlled agent independence.
  • Oversee LLM/ML serving infrastructure to consolidate ML/LLM workloads.
  • Define telemetry and ROI metrics for platform health and business impact.
  • Partner with product engineering, architecture, and data science to drive adoption.

Skills

PM leadership
Infra focus
AI/ML stack
Telemetry & costs

Tools

LiteLLM gateway
Langfuse
KServe
SageMaker
Bedrock
Ray
Kubernetes

Job description

Angi is seeking a Principal Technical Product Manager to own the AI Platform, including a model-agnostic gateway, eval-driven governance, and self-hosted model serving. You will drive the strategy and roadmap across product engineering and data science to enable scalable, compliant AI workloads at Angi.

You will lead cross-functional teams to deliver measurable improvements in product quality and usage, balancing cost, quality, and speed across initiatives.

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