Lead AI Technical Product Manager

About Humana Humana will never ask, nor require a candidate to provide money for work equipment and network access during the application process. If you become aware of any instances where you as a candidate are asked to provide information and do not believe it is a legitimate request from Humana or affiliate, please contact yourcareer@humana.com to validate the request

Humana

H

humana.com

10,001+ employees

Insurance

Louisville, Kentucky

Public Company

765k LinkedIn followers

Raised $14.1B

• As Humana continues its transformation into an AI-first enterprise, we are
• looking for a hands-on, technically proficient Lead Product Manager to lead the
• design, prototyping, and scaling of AI solutions across our business. You will
• work with cross-functional teams of engineers, designers, data scientists, and
• business stakeholders to build AI-powered solutions that solve real enterprise
• problems. You will lead and drive a complex product area within our AI
• portfolio, define what success looks like, build and develop with the team, and
• drive results across the organization, moving from deeply understanding a
• business challenge to prototyping an AI solution, to proving its value, to
• delivering it through Humana's enterprise AI governance process.
• Strategy and roadmap: Define the vision, strategy, and roadmap for a complex
• AI product area. Decide what to build and why, prioritize across competing
• opportunities, and adapt as the model landscape and the business change.
• operations end to end (service design), then translate ambiguous business
• problems into clearly scoped AI use cases with a clear value proposition,
• business case, and ROI justification.
• Hands-on prototyping: Build working prototypes and demos yourself using
• agentic coding and AI tools (for example, Claude Code, Cursor, OpenAI Codex)
• to test feasibility and value before committing a full team.
• Requirements and scoping: Turn validated use cases into clear, buildable
• requirements, user stories, acceptance criteria, edge cases, and success
• metrics, so engineers, data scientists, and designers know exactly what
• "done" and "good" mean. Shape the end-to-end user experience with design,
• since enterprise adoption lives or dies on usability.
• Delivery and execution: Drive the build from prototype to production and own
• the backlog, sequence the work, make scope and tradeoff calls as models and
• constraints shift, unblock the team, and keep momentum from first demo
• through launch and iteration.
• Evaluation and quality: Own how quality is defined and measured. Build golden
• sets and ground truth, run offline and live (production) evals, choose
• appropriate metrics (accuracy, precision, recall, F1, task success,
• hallucination rate), apply LLM-as-judge where it has been validated, and turn
• results into launch decisions and readouts for leadership.
• feasibility discussions with engineering, while owning the required prompt
• engineering and/or skill creation components of the AI harness.
• Cross-functional leadership: Lead engineers, data scientists, designers, and
• business partners without direct authority. Author reusable playbooks,
• skills, and solution patterns that make AI delivery faster and more
• consistent across the organization.
• Governed delivery: Move solutions through Humana's enterprise AI governance
• (AIRB, LRC, Responsible AI Council), owning
• the product documentation, scorecards, and stage-gate reviews.
• Communication and mentorship: Communicate strategy, requirements, roadmap,
• ROI, and eval results clearly to executive and technical audiences. Mentor
• product managers and raise the team's standard for building with AI.
• techniques (agent harness, loop, and graph / GraphRAG approaches) and apply
• them in your portfolio.

Required

• equivalent experience)
• 7+ years of product or related experience, including 4+ years in product
• management, with AI/ML or GenAI products shipped to production.
• Hands-on building: You use AI tools regularly and can articulate specifically
• what you would change about a model's behavior and why. You prototype your
• own ideas.
• Evaluation experience: You have built evals, including golden sets, ground
• truth, and offline and live evals, and used precision- and recall-based
• metrics to make product decisions.
• Systems thinking: When you find a problem, you build the infrastructure that
• prevents the whole class of problem.
• Communication across domains: You move between business and technical
• concepts, with a track record of business cases, ROI models, and roadmaps
• that inform investment decisions.
• AI knowledge: A working understanding of modern AI/ML and GenAI (LLMs,
• agents, RAG, prompt engineering, and Evaluation methodology) and how it
• applies to enterprise problems.

Preferred

• Experience in healthcare, insurance, or another regulated industry.
• A well-supported 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 with ambiguity and a fast pace, working from first principles.

• Humana, Inc. and its affiliated subsidiaries (collectively, “Humana”) offers
• competitive benefits that support whole-person well-being. Associate benefits
• are designed to encourage personal wellness and smart healthcare decisions for
• you and your family while also knowing your life extends outside of work. Among
• our benefits, Humana provides 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 and many other opportunities.