Remote AI Product Lead: AI Governance & Evaluation Platform

UnitedHealth Group

Eden Prairie (MN)

Hybrid

USD 92,000 - 164,000

Full time

14 days+

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Job summary

UnitedHealth Group is seeking a senior product leader to own the strategy and roadmap for AI Patrol - Evals as a Service. You will shape evaluation dimensions for LLMs, curate test sets, and drive enterprise adoption while aligning with responsible AI and governance practices. The role supports remote work from anywhere in the U.S.

with required in-office presence in Minneapolis or Washington, D.C. for certain hires, and involves collaboration across engineering, data science, governance, and

Qualifications

  • Undergraduate degree or 4+ years of equivalent technical product experience.
  • 5+ years of technical product or program management owning roadmaps and criteria.
  • 2+ years managing platform or shared-service products.
  • 2+ years working with LLMs, RAG, and agentic architectures.
  • 2+ years evaluating AI models and applications (gold-set, red-teaming).
  • 1+ years using SQL and Python to read telemetry and dashboards.

Responsibilities

  • Own product strategy, roadmap, intake prioritization, and enterprise adoption.
  • Design and deploy AI-powered evaluation solutions with responsible AI focus.
  • Consolidate fragmented practices into a governed shared service with standard scorecards.
  • Define evaluation dimensions for LLMs and agentic solutions.
  • Curate test sets, set thresholds for automated scoring, and prioritize features.
  • Leverage enterprise AI tools to streamline workflows and generate reports.

Skills

LLMs
RAG
Agentic architectures
SQL
Python
AI governance
MLOps tools
Cloud AI platforms

Education

Undergraduate degree
Engineering background

Tools

MLOps tools
CI/CD concepts

Job description

UnitedHealth Group is seeking a senior product leader to own the strategy and roadmap for AI Patrol - Evals as a Service. You will shape evaluation dimensions for LLMs, curate test sets, and drive enterprise adoption while aligning with responsible AI and governance practices. The role supports remote work from anywhere in the U.S.

with required in-office presence in Minneapolis or Washington, D.C. for certain hires, and involves collaboration across engineering, data science, governance, and

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