HHumana logo

Humana

Insurance · 49k people

Senior AI Technical Product Manager

Posted 12 Oct

What’s this role about? The Senior AI Technical Product Manager will own the discovery, definition, and delivery of AI products, driving them from concept through prototyping to production. They will collaborate with cross-functional teams to build AI-powered solutions while ensuring compliance with enterprise AI governance frameworks.

New York, New York
Hybrid
$125K – $172K
Full-time
5-10 years exp
Bachelor degree or Postgraduate 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 Senior Product Manager to design, prototype, and scale 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 own an AI
  • product or major capability within our AI portfolio, define what success looks
  • like, build and develop with the team, and drive it 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.
  • Product ownership: Own the discovery, definition, and delivery of an AI
  • product or capability. Write the PRD, define the target-state (north-star)
  • vision, and drive it from concept through prototyping, evaluation, and
  • launch.
  • Business discovery: Work directly with business partners to understand their
  • operations, map the service end to end, and turn real problems into scoped AI
  • use cases with a clear value proposition.
  • Hands-on prototyping: Build working prototypes and demos yourself with AI
  • tools (for example, Claude Code, Cursor, OpenAI Codex) to test feasibility
  • and value.
  • 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: Build golden sets and ground truth, run offline and
  • live evals, choose appropriate metrics (accuracy, precision, recall, F1, task
  • success, hallucination rate), and use results, including LLM-as-judge where
  • validated, to decide what ships and to measure impact.
  • discussions with engineering, while owning the required prompt engineering
  • and/or skill creation components of the AI harness.
  • Cross-functional delivery: Partner with engineers, data scientists, and
  • designers to deliver against roadmap and milestones, and contribute to shared
  • playbooks, skills, and patterns.
  • Governed delivery: Prepare the documentation, scorecards, and technical
  • detail needed to move your solution through Humana's enterprise AI governance
  • (AIRB, LRC, Responsible AI Council).
  • Communication: Communicate progress, requirements, trade-offs, ROI,
  • and eval results clearly to business and technical stakeholders.

Qualification

TechnologyHealthcareManagement & LeadershipData & AnalyticsSoftware

Required

  • equivalent experience)
  • 5+ years of product or related experience, including 3+ years in product
  • management, with hands-on experience building or shipping AI/ML or GenAI
  • products.
  • You use AI tools regularly and prototype your own ideas.
  • Evaluation experience: You have built or run evals, including golden sets,
  • ground truth, and accuracy-, precision-, and recall-based metrics, and used
  • them to make product decisions.
  • AI knowledge: A working understanding of modern AI/ML and GenAI: LLMs, RAG,
  • agents, prompt/harness engineering, and evaluation methodology.
  • Communication across domains: The ability to move between business and
  • technical language and to build a value proposition and a basic business
  • case.

Preferred

  • Experience in healthcare, insurance, or another regulated industry.
  • Hands-on experience with agent frameworks, GraphRAG / knowledge graphs, or
  • reusable skills / plugins.
  • Working proficiency in Python
  • Familiarity with responsible AI, bias mitigation, and
  • compliance for sensitive data.
  • Comfort with ambiguity and a fast pace, with strong prioritization and
  • problem-solving.

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.

Interested in this role?

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