HHumana logo

Humana

Insurance · 49k people

Principal Product Manager, AI

Posted 12 Oct

What’s this role about? Define the multi-year vision and strategy for a portfolio of AI products while driving delivery from prototype to production. Lead cross-functional teams and influence executive stakeholders to ensure AI solutions meet business goals and enterprise governance standards.

Washington, District of Columbia
Hybrid
$202K – $277K
Full-time
10+ years exp
Bachelor degree

Skills required

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Company

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

HHumana logo
10,001+ employees
Insurance
Public Company
765k LinkedIn followers
Raised $14.1B

Responsibilities

  • As Humana continues its transformation into an AI-first enterprise, we are
  • looking for a hands-on, technically deep Principal Product Manager to define
  • strategy and drive delivery across a portfolio of AI products. You will set the
  • standard for how we build AI at Humana, and personally go deep, from
  • understanding a business challenge, to prototyping an AI solution, to proving
  • its value, to delivering it through Humana's enterprise AI governance process.
  • You will lead through influence, making engineers, data scientists, designers,
  • product managers, and business leaders more effective.
  • Portfolio strategy and vision: Define the multi-year vision and strategy for
  • a portfolio of AI products and capabilities. Prioritize across competing
  • product areas and adapt the portfolio as the model landscape and the business
  • change. Set the north-star and the long-term roadmap, and reason from first
  • principles when the problem, opportunity, and strategy are not yet defined.
  • leaders to map their operations end to end. Turn ambiguous, high-stakes
  • problems into a slate of AI use cases, each with a clear business case, and
  • sequence them into a portfolio.
  • Hands-on prototyping: Build working prototypes and demos with agentic coding
  • tools (Claude Code, Cursor, OpenAI Codex) to prove feasibility and value
  • before a full team is committed. Stay close enough to the technology to make
  • credible technical calls.

Qualification

TechnologyManagement & LeadershipData & AnalyticsSoftwareHealthcare

Required

  • requirements: user stories, acceptance criteria, edge cases, and success
  • metrics. Shape the end-to-end user experience with design, because adoption
  • depends on usability.
  • Delivery and execution: Drive the build from prototype to production across
  • your portfolio. Sequence the work, make scope and tradeoff calls as models
  • and constraints shift, unblock teams, and keep momentum from first demo
  • through launch and iteration.
  • Evaluation and quality standards: Define how quality is measured. Build
  • golden sets, error budgets, and eval frameworks; run offline and production
  • evals; choose the right metrics (precision, recall, task success,
  • hallucination rate); apply LLM-as-judge where it has been validated. Turn
  • results into launch decisions and leadership readouts.
  • Solution architecture: Partner with engineering on high-level architecture
  • and feasibility across the portfolio, while owning the context engineering
  • and skill-creation components of the AI harness and setting the reusable
  • patterns others build on.
  • Cross-organizational leadership: Lead 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 the playbooks, skills, and solution patterns for
  • building AI at Humana.
  • Governed delivery: Move solutions through Humana's enterprise AI governance
  • (AIRB, LRC, Responsible AI Council), owning the product documentation,
  • scorecards, and stage-gate reviews, and help shape the governance standards
  • themselves as the portfolio grows.
  • Talent and standards: Raise the bar for the whole team. Mentor senior and
  • lead product managers, contribute to hiring and promotion assessments, and
  • set the craft standard for building with AI across the organization.
  • Communication and influence: Communicate strategy, roadmap, requirements,
  • ROI, and eval results clearly to executive, business, and technical
  • audiences, and represent Humana's AI product work externally with partners,
  • vendors, and the broader community.
  • techniques (agent harness, loop, and graph / GraphRAG approaches), form a
  • defensible point of view on where they are headed, and apply them across your
  • portfolio.
  • 10+ years of product or related experience, with AI/ML or GenAI products
  • shipped to production. Candidates with fewer years but a strong engineering
  • background and real fluency in AI will be considered.
  • Portfolio-level impact: A track record of setting strategy and driving
  • delivery across multiple products or a major domain, and of leading
  • initiatives with org-wide, executive-level visibility.
  • Hands-on building: You use AI tools regularly, prototype your own ideas, and
  • can say specifically what you would change about a model's behavior and why.
  • You know the trade-offs that matter: context windows, latency, cost,
  • hallucination, and RAG versus fine-tuning.
  • Evaluation expertise: You have built evals (golden sets, ground truth, and
  • offline and live evals) and used precision- and recall-based metrics to make
  • product decisions, and you have set eval standards that other teams adopt.
  • Systems thinking: When you find a problem, you build the infrastructure that
  • prevents the whole class of problem, and you make that infrastructure
  • reusable across the organization.
  • Communication across domains: You move fluently between business and
  • technical concepts, with a track record of business cases, ROI models, and
  • roadmaps that inform investment decisions at the executive level.
  • AI knowledge: A deep working understanding of modern AI/ML and GenAI (LLMs,
  • agents, RAG, prompt/harness engineering, and Evals) and how it applies to
  • enterprise problems.
  • You work from first principles, prioritize well, and make good calls quickly
  • with incomplete information.

Preferred

  • building, in a large enterprise environment.
  • Experience in healthcare, insurance, or another regulated industry.
  • A well-supported, 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.

Benefits

  • 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.

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