Principal Product Manager

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.

Responsibilities:

• 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.
• Business discovery at scale: Partner with business-unit and enterprise 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 to prove feasibility and value before a full team is committed.
• Requirements and scoping: Turn validated use cases into buildable requirements: user stories, acceptance criteria, edge cases, and success metrics.
• Delivery and execution: Drive the build from prototype to production across your portfolio.
• 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.
• 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.
• Governed delivery: Move solutions through Humana's enterprise AI governance, owning the product documentation, scorecards, and stage-gate reviews.
• 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.
• Staying current: Track advances in models, agents, evals, and emerging techniques, form a defensible point of view on where they are headed, and apply them across your portfolio.

Requirements:

• 10+ years of product or related experience, with AI/ML or GenAI products shipped to production.
• 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.
• Evaluation expertise: You have built 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, 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.

Benefits:

• 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