Agentic Ai Product Management Jobs

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Lead AI Technical Product Manager

Humana Dallas, TX

Dallas, TX

Today

$152k - $208k/yr Full time Agentic Ai Product Management Ai Workflows Ai/ml Product Management

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Job Description

Lead the design, prototyping, and scaling of AI solutions across Humana as an AI-first enterprise.

Responsibilities

Set the vision, strategy, and roadmap for a complex AI product area, including build-versus-not build decisions and prioritization across competing opportunities
Adapt roadmap choices as the model landscape and business needs change
Work with business units to map end-to-end operations (service design)
Translate ambiguous business problems into clearly scoped AI use cases with a value proposition, business case, and ROI justification
Build working prototypes and demos hands-on using agentic coding and AI tools (for example, Claude Code, Cursor, OpenAI Codex) to validate feasibility and value
Turn validated use cases into buildable requirements, user stories, acceptance criteria, edge cases, and success metrics
Shape end-to-end user experience with design
Own execution from prototype to production: manage the backlog, sequence work, and make scope and tradeoff calls as models and constraints shift
Unblock teams and maintain momentum from first demo through launch and iteration
Define and measure AI quality by building golden sets and ground truth
Run offline and live (production) evaluations and select metrics such as accuracy, precision, recall, F1, task success, and hallucination rate
Apply LLM-as-judge where validated and convert evaluation results into launch decisions and leadership readouts
Partner on architecture and feasibility discussions with engineering
Own prompt engineering and/or skill-creation components of the AI harness
Lead engineers, data scientists, designers, and business partners without direct authority
Author reusable playbooks, skills, and solution patterns to speed and standardize AI delivery across the organization
Move solutions through enterprise AI governance, including AIRB, LRC, and Responsible AI Council
Own product documentation, scorecards, and stage-gate reviews
Communicate strategy, requirements, roadmap, ROI, and evaluation results to both executive and technical audiences
Mentor product managers and raise the team standard for building with AI
Track advances in models, agents, evaluations, and emerging techniques, including agent harness, loops, and graph / GraphRAG approaches, then apply learnings to the portfolio

Requirements

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
Experience shipping AI/ML or GenAI products to production
Hands-on building experience using AI tools regularly, including the ability to explain how you would change a model’s behavior and why, plus prototyping your own ideas
Evaluation experience: built evals with golden sets, ground truth, offline and live evals, and used precision- and recall-based metrics to guide product decisions
Systems thinking: build infrastructure to prevent whole classes of problems
Cross-domain communication: develop business cases, ROI models, and roadmaps that inform investment decisions
Working knowledge of modern AI/ML and GenAI (LLMs, agents, RAG, prompt engineering, and evaluation methodology) as applied to enterprise problems

Technologies

Claude Code
Cursor
OpenAI Codex
LLMs
Agents
RAG
Prompt engineering
Evaluation methodology
GraphRAG
LLM-as-judge

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
Bonus incentive plan eligibility

Preferred Qualifications

Experience in healthcare, insurance, or another regulated industry
Strong 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 working from first principles in ambiguous, fast-paced environments

Additional Information

AI solutions must comply with Humana’s Enterprise AI Governance Framework and undergo full review at designated stage gates
Hybrid work: 3 days per week in the office and remaining days remote
Candidates must currently reside within, or be willing to relocate to, a commutable distance from a listed talent market
Office options: New York, NY; Louisville, KY; Chicago, IL; Dallas, TX
Scheduled weekly hours: 40
Pay range: $151,600 - $208,400 per year

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