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Job Profile
Senior Product Manager - Technical
Job Level
Senior Professional
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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.
What you will own
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.
Solution architecture: Support high-level architecture and feasibility 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.
Use your skills to make an impact
Required Qualifications
B.S. or M.S. in Computer Science, Engineering, or a related field (or 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 Qualifications
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.
Additional Information
All AI solutions must comply with Humana’s Enterprise AI Governance Framework and undergo full review at designated stage gates.
Work Style and Location:This position follows a hybrid work schedule, requiring employees to work three days per week in the office and the remaining days remotely. Qualified candidates must currently reside within, or be willing to relocate to, a commutable distance from our office in New York, NY.
Scheduled Weekly Hours
40
Pay Range
The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc.
$124,800 - $171,600 per year
This job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance.
Referral Bonus Information
This requisition is not eligible for a referral bonus.
About us
About Humana: Humana Inc. (NYSE: HUM) is a leading U.S. healthcare company. Through our Humana insurance services and our CenterWell healthcare services, we make it easier for the millions of people we serve to achieve their best health – delivering the care and service they need, when they need it. These efforts are leading to a better quality of life for people with Medicare and Medicaid, families, individuals, military service personnel, and communities at large. Learn more about what we offer at Humana.com and at CenterWell.com.
Equal Opportunity Employer
It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status. It is also the policy of Humana to take affirmative action, in compliance with Section 503 of the Rehabilitation Act and VEVRAA, to employ and to advance in employment individuals with disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment.
