Lead AI Technical Product Manager

Lead the design, prototyping, and scaling of AI solutions across Humana as an AI-first enterprise.

Responsibilities

• Set the vision, strategy, and roadmap for a complex AI product area, including build-versus-not build decisions and prioritization across competing opportunities
• Adapt roadmap choices as the model landscape and business needs change
• Work with business units to map end-to-end operations (service design)
• Translate ambiguous business problems into clearly scoped AI use cases with a value proposition, business case, and ROI justification
• Build working prototypes and demos hands-on using agentic coding and AI tools (for example, Claude Code, Cursor, OpenAI Codex) to validate feasibility and value
• Turn validated use cases into buildable requirements, user stories, acceptance criteria, edge cases, and success metrics
• Shape end-to-end user experience with design
• Own execution from prototype to production: manage the backlog, sequence work, and make scope and tradeoff calls as models and constraints shift
• Unblock teams and maintain momentum from first demo through launch and iteration
• Define and measure AI quality by building golden sets and ground truth
• Run offline and live (production) evaluations and select metrics such as accuracy, precision, recall, F1, task success, and hallucination rate
• Apply LLM-as-judge where validated and convert evaluation results into launch decisions and leadership readouts
• Partner on architecture and feasibility discussions with engineering
• Own prompt engineering and/or skill-creation components of the AI harness
• Lead engineers, data scientists, designers, and business partners without direct authority
• Author reusable playbooks, skills, and solution patterns to speed and standardize AI delivery across the organization
• Move solutions through enterprise AI governance, including AIRB, LRC, and Responsible AI Council
• Own product documentation, scorecards, and stage-gate reviews
• Communicate strategy, requirements, roadmap, ROI, and evaluation results to both executive and technical audiences
• Mentor product managers and raise the team standard for building with AI
• Track advances in models, agents, evaluations, and emerging techniques, including agent harness, loops, and graph / GraphRAG approaches, then apply learnings to the portfolio

Requirements

• B.S. or M.S. in Computer Science, Engineering, or a related field (or equivalent experience)
• 7+ years of product or related experience, including 4+ years in product management
• Experience shipping AI/ML or GenAI products to production
• Hands-on building experience using AI tools regularly, including the ability to explain how you would change a model’s behavior and why, plus prototyping your own ideas
• Evaluation experience: built evals with golden sets, ground truth, offline and live evals, and used precision- and recall-based metrics to guide product decisions
• Systems thinking: build infrastructure to prevent whole classes of problems
• Cross-domain communication: develop business cases, ROI models, and roadmaps that inform investment decisions
• Working knowledge of modern AI/ML and GenAI (LLMs, agents, RAG, prompt engineering, and evaluation methodology) as applied to enterprise problems

Technologies

• Claude Code
• Cursor
• OpenAI Codex
• LLMs
• Agents
• RAG
• Prompt engineering
• Evaluation methodology
• GraphRAG
• LLM-as-judge

Benefits

• Medical, dental and vision benefits
• 401(k) retirement savings plan
• Time off including paid time off, company and personal holidays, paid parental and caregiver leave
• Short-term and long-term disability
• Life insurance
• Bonus incentive plan eligibility

Preferred Qualifications

• Experience in healthcare, insurance, or another regulated industry
• Strong point of view on where agentic AI, evals, and AI-native product development are headed
• Hands-on experience with agent frameworks, GraphRAG / knowledge graphs, and reusable skills / plugins
• Comfort working from first principles in ambiguous, fast-paced environments

Additional Information

• AI solutions must comply with Humana’s Enterprise AI Governance Framework and undergo full review at designated stage gates
• Hybrid work: 3 days per week in the office and remaining days remote
• Candidates must currently reside within, or be willing to relocate to, a commutable distance from a listed talent market
• Office options: New York, NY; Louisville, KY; Chicago, IL; Dallas, TX
• Scheduled weekly hours: 40
• Pay range: $151,600 - $208,400 per year