# Lead Product Manager

**Company**: Humana Inc.
**Location**: New York, NY
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: $151,600 - $208,400 per year
**Category**: Product Management
**Industry**: Healthcare

**Apply**: https://humana.wd5.myworkdayjobs.com/en-US/Humana_External_Career_Site/job/New-York-NY/Lead-AI-Technical-Product-Manager_R-425570?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_5b1bc6ec-994

## Description

As Humana continues its transformation into an AI-first enterprise, we are looking for a hands-on, technically proficient Lead Product Manager to lead the design, prototyping, and scaling of 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**

- Strategy and roadmap: Define the vision, strategy, and roadmap for a complex AI product area.

- Business discovery: Partner directly with business units to map their operations end to end (service design), then translate ambiguous business problems into clearly scoped AI use cases with a clear value proposition, business case, and ROI justification.

- Hands-on prototyping: Build working prototypes and demos yourself using agentic coding and AI tools (for example, Claude Code, Cursor, OpenAI Codex) to test feasibility and value before committing a full team.

- 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.

- 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: Own how quality is defined and measured.

- Support 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 leadership: Lead engineers, data scientists, designers, and business partners without direct authority.

- Governed delivery: Move solutions through Humana's enterprise AI governance (AIRB, LRC, Responsible AI Council), owning the product documentation, scorecards, and stage-gate reviews.

- Communication and mentorship: Communicate strategy, requirements, roadmap, ROI, and eval results clearly to executive and technical audiences.

- Staying current: Track advances in models, agents, evals, and emerging techniques (agent harness, loop, and graph / GraphRAG approaches) and apply them in your portfolio.

**Required Qualifications**

- B.S. or M.S. in Computer Science, Engineering, or a related field (or equivalent experience)

- 7+ years of product or related experience, including 4+ years in product management, with AI/ML or GenAI products shipped to production.

- Hands-on building: You use AI tools regularly and can articulate specifically what you would change about a model's behavior and why.

- Evaluation experience: You have built evals, including golden sets, ground truth, and offline and live evals, and used precision- and recall-based metrics to make product decisions.

- Systems thinking: When you find a problem, you build the infrastructure that prevents the whole class of problem.

- Communication across domains: You move between business and technical concepts, with a track record of business cases, ROI models, and roadmaps that inform investment decisions.

- AI knowledge: A working understanding of modern AI/ML and GenAI (LLMs, agents, RAG, prompt engineering, and Evaluation methodology) and how it applies to enterprise problems.

**Preferred Qualifications**

- Experience in healthcare, insurance, or another regulated industry.

- A well-supported 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.

- Comfort with ambiguity and a fast pace, working from first principles.

## Skills

### Required
- AI/ML
- GenAI
- Product Management
- Agentic Coding
- AI Tools
- Data Science
- Engineering

### Nice to have
- Agent Frameworks
- GraphRAG
- Knowledge Graphs
- Reusable Skills
- Plugins

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Source: [Apply at humana.wd5.myworkdayjobs.com](https://humana.wd5.myworkdayjobs.com/en-US/Humana_External_Career_Site/job/New-York-NY/Lead-AI-Technical-Product-Manager_R-425570?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)