Manager - AI Tech Project Management - Remote

Optum Tech is a global leader in health care innovation. Our teams develop cutting-edge solutions that help people live healthier lives and help make the health system work better for everyone. From advanced data analytics and AI to cybersecurity, we use innovative approaches to solve some of health care's most complex challenges. Your contributions here have the potential to change lives.

Ready to build the next breakthrough? Join us to start Caring. Connecting. Growing together.

Join Optum Technology to lead the product strategy, roadmap, and enterprise adoption of AI Patrol - Evals as a Service. This critical shared capability gives engineering and product teams a standard way to measure the quality, safety, and cost of AI solutions before and after release. In this role, you will convert fragmented, team-by-team evaluation practices into a governed, reusable service with defined intake, standard scorecards, and automated release gates.

Working directly inside the AI stack, you will define evaluation dimensions for large language models and agentic architectures, curate gold-standard and adversarial test sets, and implement automated LLM-as-judge scoring to accelerate the path from prototype to production release across the enterprise.

You'll enjoy the flexibility to work remotely
* from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week.

• Own the product strategy, roadmap, intake prioritization, and enterprise adoption of AI Patrol - Evals as a Service
• Design, develop, and deploy AI-powered evaluation solutions to address complex business challenges with an emphasis on responsible AI use
• Convert fragmented evaluation practices into one governed, reusable shared service with standard scorecards and release gates
• Define evaluation dimensions for large language model (LLM) and agentic solutions, including accuracy, groundedness, hallucination rate, bias, toxicity, latency, and cost per task
• Curate gold-standard and adversarial test sets, set thresholds for automated LLM-as-judge and human-in-the-loop scoring, and prioritize key platform features
• Leverage enterprise-approved AI tools to streamline workflows, automate tasks, analyze requirements, summarize telemetry, and produce evaluation reporting
• Evaluate emerging trends in LLMOps and model evaluation to inform solution design, benchmarking standards, and strategic platform innovation

You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

• Undergraduate degree or 4+ years of equivalent technical product or program management experience
• 5+ years of experience in technical product or program management owning product roadmaps, intake, prioritization, and writing measurable acceptance criteria
• 2+ years of experience managing platform or shared-service technical products
• 2+ years of experience or working fluency with large language models (LLMs), retrieval-augmented generation (RAG), and agentic architectures
• 2+ years of experience with AI model and application evaluation methods (eg, gold-set design, red-teaming/adversarial testing, hallucination measurement, or drift monitoring)
• 1+ years of experience using SQL and Python for reading evaluation telemetry, metrics, and dashboards

• Undergraduate degree in Computer Science, Data Science, Engineering, or a related technical field
• Hands-on experience with MLOps/LLMOps tools and CI/CD release gating concepts
• Experience with cloud AI platform services (AWS, Azure, GCP)
• Familiarity with healthcare data handling, including PHI and HIPAA compliance obligations
• Demonstrated ability to influence without authority across engineering, data science, governance, and business leaders
• Executive-level communication skills with experience presenting standardized evidence for AI governance, risk, and compliance stakeholders

* All employees working remotely will be required to adhere to United Health Group's Telecommuter Policy

Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and…