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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in product management for AI-powered systems, with a strong focus on building and shipping AI products, evaluating agent performance, and collaborating on technical architecture. Proven ability to communicate effectively across technical and non-technical teams while leading ambitious projects in fast-paced environments.
Highest-signal resume keywords
AI Product ManagementExperience Shipping AI ProductsFluency In SQLLight Python PrototypingStrong Strategic Thinking
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AI Systems TestingEvaluation Sets DefinitionAgent Failure Mode IdentificationData Model ChangesArchitecture ParticipationCost/Speed Trade-offsRequirements DefinitionDetail-oriented ExecutionPrototypingAmbiguity Management
Soft Skills
Clear CommunicationTeamworkContinuous LearningGritBias For Action
Industry Keywords
InsuranceFintechAgent SystemsEmerging Agentic-commerce StandardsOpen Developer Communities
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Own the product roadmap for an AI-powered insurance marketplace used by AI agents
- Define and maintain evaluation sets, identify agent failure modes, and establish quality criteria
- Track agent completion, accuracy, speed, and handoff follow-through
- Build prototypes and test agent flows with real and test agents
- Translate learnings into changes to the data model, exposed reasoning, and architecture
- Collaborate with the AI technical lead and engineers on architecture, cost, and speed trade-offs
- Build relationships with AI platforms and incorporate routing and discovery insights into product design
- Publish the company’s mission, experiments, and findings
- Provide leadership with regular visibility into progress, learnings, and risks
Requirements
What you’ll need- Experience building and shipping real AI products into production
- Experience testing AI systems, identifying failure modes, and determining rollback criteria
- Working understanding of LLMs, agent systems, retrieval, orchestration, guardrails, and cost/speed trade-offs
- Technical depth to participate in architecture or code reviews
- Comfort with light Python or SQL for data analysis and prototyping
- Strong product instincts and comfort with ambiguity
- Clear communication with technical and non-technical people
- Continuous learning, grit, and bias for action
- 8+ years in product management, engineering, or closely related work at a technology company, including senior ownership of a product area
- Track record of leading large, ambitious projects with a small team and delivering them
- Proven experience building and shipping AI or agent products to production
- Detail-oriented with dependable delivery in a fast-moving, entrepreneurial environment
- Fluency in SQL and comfort reading or writing light Python to prototype
- Strong strategic thinking paired with methodical execution
- Excellent communication across all levels of an organization
- Experience defining requirements for complex technical systems or platforms
- History of teamwork and bias for action
- Insurance or fintech experience (nice to have, not required)
- Familiarity with MCP, A2A, agent registries, or emerging agentic-commerce standards (nice to have, not required)
- Experience working or publishing in open developer communities (nice to have, not required)
- Current, unrestricted work authorization in the United States
- Must not require immigration sponsorship now or in the future
Benefits
Comp & perks- Variable cash bonus programs
- Equity
- Health benefits
- Welfare benefits
- Wellbeing benefits
- Equal opportunity employer
- Reasonable accommodations for applicants with disabilities and sincerely held religious beliefs or practices