Principal Product Manager, AI

Humana is seeking a hands-on Principal Product Manager, AI to define strategy and drive delivery across a portfolio of AI products. This role blends portfolio leadership, technical depth, evaluation rigor, and cross-organizational collaboration to move AI capabilities from prototype to production under enterprise governance.

What You’ll Do

• Define the multi-year vision and strategy for a portfolio of AI products and capabilities.
• Prioritize across competing product areas, adapting the portfolio as the model landscape and business needs evolve.
• Set the north-star and long-term roadmap, reasoning from first principles when the problem, opportunity, and strategy are not yet defined.
• Partner with business-unit and enterprise leaders to map operations end to end.
• Convert ambiguous, high-stakes problems into a slate of AI use cases with clear business cases, then sequence them into a portfolio.
• Build working prototypes and demos using agentic coding tools (including Claude Code, Cursor, OpenAI Codex) to validate feasibility and value before committing a full team.
• Maintain close technical proximity to make credible technical decisions.
• Translate validated use cases into buildable requirements, including user stories, acceptance criteria, edge cases, and success metrics.
• Shape end-to-end user experience with design, focusing on usability for adoption.
• Drive implementation from prototype through production across the portfolio.
• Sequence work, make scope and tradeoff decisions as model constraints shift, unblock teams, and maintain momentum through demo, launch, and iteration.
• Define how product quality will be measured.
• Build golden sets, error budgets, and evaluation frameworks, running both offline and production evals; select metrics such as precision, recall, task success, and hallucination rate, including LLM-as-judge where validated.
• Turn evaluation results into launch decisions and leadership readouts.
• Partner with engineering on high-level architecture and feasibility, while owning context engineering and skill-creation components of the AI harness and establishing reusable patterns.
• Lead cross-functional teams (engineers, data scientists, designers, product managers, and business partners) without direct authority.
• Influence VP-level organizations through written narratives, business cases, and executive forums.
• Author playbooks, skills, and solution patterns for building AI at Humana.
• Advance solutions through enterprise AI governance (AIRB, LRC, Responsible AI Council), owning product documentation, scorecards, and stage-gate reviews, and contribute to evolving governance standards.
• Raise the bar for the broader team.
• Mentor senior and lead product managers, contribute to hiring and promotion assessments, and set craft standards for AI product development.
• Communicate strategy, roadmap, requirements, ROI, and evaluation outcomes clearly to executive, business, and technical audiences; represent Humana’s AI product work externally with partners, vendors, and the community.
• Track advances in models, agents, and evals (including agent harness, loop, and graph/GraphRAG approaches), establish a defensible point of view on direction, and apply it across the portfolio.

Required Qualifications

• 10+ years of product or related experience, including AI/ML or GenAI products shipped to production. Candidates with fewer years with strong engineering background and real fluency in AI will be considered.
• Portfolio-level impact: experience setting strategy and driving delivery across multiple products or a major domain, with org-wide, executive-level visibility.
• Hands-on building: regular use of AI tools, prototyping personal ideas, and the ability to explain specific changes to model behavior and why, including key tradeoffs such as context windows, latency, cost, hallucination, and RAG versus fine-tuning.
• Evaluation expertise: experience building evals (golden sets, ground truth, offline and live evals) and using precision- and recall-based metrics for product decisions; experience setting eval standards adopted by other teams.
• Systems thinking: ability to build infrastructure that prevents entire classes of problems and make that infrastructure reusable across the organization.
• Communication across domains: ability to translate between business and technical concepts, with a track record of business cases, ROI models, and roadmaps informing executive investment decisions.
• AI knowledge: deep working understanding of modern AI/ML and GenAI, including LLMs, agents, RAG, prompt/harness engineering, and evals, and how they apply to enterprise problems.
• Ability to work from first principles, prioritize well, and make good decisions quickly with incomplete information.

Technologies

• Claude Code
• Cursor
• OpenAI Codex
• LLMs
• Agents
• RAG
• Prompt/harness engineering
• Evals
• AIRB
• LRC
• GraphRAG
• Graph / GraphRAG

Preferred Qualifications

• 12+ years of product experience, or equivalent depth of AI-native building, in a large enterprise environment.
• Experience in healthcare, insurance, or another regulated industry.
• A publicly demonstrated 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.
• Experience defining a new AI product category or standing up cross-organization AI standards and playbooks.
• Familiarity with responsible AI, bias mitigation, and compliance with sensitive data.
• A degree in computer science or engineering, or an equivalent combination of experience.

Responsible AI

• Everything shipped will meet Humana’s Responsible AI standards and AI governance stage gates, with safety, fairness, privacy, and compliance built in from the start.
• As a Principal, you will help set those standards.

Work Style and Location

• Hybrid schedule: three days per week in the office and remaining days remotely.
• Scheduled weekly hours: 40.
• Must currently reside within, or be willing to relocate to, a commutable distance from one of the talent markets listed below.
• Office location options: New York, NY; Louisville, KY; Chicago, IL; Dallas, TX.

Compensation and Benefits

• Pay range: $201,600 - $277,200 per year.
• This job is eligible for a bonus incentive plan.
• 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.