- Own the discovery, definition, and delivery of an AI product or major capability
- Write the PRD and define the target-state vision
- Drive products from concept through prototyping, evaluation, launch, and iteration
- Work directly with business partners to map operations and turn problems into scoped AI use cases
- Build working AI prototypes and demos using tools such as Claude Code, Cursor, and OpenAI Codex
- Translate validated use cases into requirements, user stories, acceptance criteria, edge cases, and success metrics
- Shape the end-to-end user experience with design
- Own the backlog, sequence work, make scope and trade-off decisions, and unblock delivery
- Build golden sets and ground truth and run offline and live evaluations
- Select evaluation metrics including accuracy, precision, recall, F1, task success, and hallucination rate
- Support high-level architecture and feasibility discussions with engineering
- Own prompt engineering and skill-creation components of the AI harness
- Partner with engineers, data scientists, and designers on roadmap and milestones
- Contribute to shared playbooks, skills, and patterns
- Prepare documentation, scorecards, and technical details for Humana's enterprise AI governance process
- Communicate progress, requirements, trade-offs, ROI, and evaluation results to stakeholders
Requirements
- B.S. or M.S. in Computer Science, Engineering, or a related field, or equivalent experience
- 5+ years of product or related experience
- 3+ years of product management experience
- Hands-on experience building or shipping AI/ML or GenAI products
- Regular use of AI tools and ability to prototype independently
- Experience building or running evaluations with golden sets, ground truth, and accuracy-, precision-, and recall-based metrics
- Working understanding of modern AI/ML and GenAI, including LLMs, RAG, agents, prompt/harness engineering, and evaluation methodology
- Ability to communicate across business and technical domains
- Ability to build a value proposition and basic business case
- Must currently reside within, or be willing to relocate to, a commutable distance from a listed talent market
- Preferred: experience in healthcare, insurance, or another regulated industry
- Preferred: hands-on experience with agent frameworks, GraphRAG, knowledge graphs, reusable skills, or plugins
- Preferred: working proficiency in Python
- Preferred: familiarity with responsible AI, bias mitigation, and sensitive-data compliance
- Comfort with ambiguity and a fast pace, with strong prioritization and problem-solving
Core Competencies
Demonstrates expertise in AI product management, including the ability to define product vision, drive prototyping and evaluation, and communicate effectively across business and technical domains. Proficient in building AI prototypes, managing product backlogs, and applying evaluation metrics to ensure product success.
Highest-signal resume keywords
- AI Product Management
- Prototyping and Evaluation
- Prompt Engineering
- Evaluation Methodology
- Python Programming
ATS Optimization Keywords
Hard Skills
- AI/ML Product Development
- Product Requirements Definition
- User Story Creation
- Acceptance Criteria Development
- Evaluation Metrics Selection
- Golden Sets and Ground Truth
- Accuracy, Precision, Recall Metrics
- AI Tools Prototyping
- Modern AI/ML Understanding
- GenAI Knowledge
Soft Skills
- Communication Across Domains
- Problem-Solving
- Prioritization
- Adaptability to Ambiguity
- Stakeholder Engagement
Industry Keywords
- Healthcare
- Insurance
- Regulated Industry
- Responsible AI
- Bias Mitigation
- Sensitive-Data Compliance
Tools & Technologies
- Claude Code
- Cursor
- OpenAI Codex
- Agent Frameworks
- GraphRAG
- Knowledge Graphs
- Reusable Skills
- Plugins