Description
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.
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 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 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.
- 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, and use results 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.
- Communication: Communicate progress, requirements, trade-offs, ROI, and eval results clearly to business and technical stakeholders.
Required Qualifications
- B.S. or M.S. in Computer Science, Engineering, or a related field
- 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
- Regular use of AI tools and prototyping of own ideas
- Experience with evaluation, including building or running evals, golden sets, ground truth, and accuracy-, precision-, and recall-based metrics
- Working understanding of modern AI/ML and GenAI: LLMs, RAG, agents, prompt/harness engineering, and evaluation methodology
- Ability to communicate across domains, building 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