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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in leading product strategy and execution for AI tools and agentic automations, with a strong focus on data-driven decision-making and cross-functional collaboration. Proven ability to mentor teams and align product direction with business objectives while optimizing performance through innovative technologies.
Highest-signal resume keywords
Product Management ExperienceAI Agent DevelopmentStakeholder ManagementData-Driven Decision-MakingRoadmap Management
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 Agent ArchitectureAgentic Development Best PracticesProduction Code DeploymentContext ManagementCost OptimizationReliability at ScaleOpen-Source Model SelectionMulti-Agent CoordinationExperimentation ValidationEmerging Technologies
Soft Skills
Cross-Functional LeadershipInfluencing Without AuthorityMentoring
Certifications & Qualifications
Bachelor’s Degree in Computer ScienceBachelor’s Degree in Engineering
Industry Keywords
Product VisionValue RealizationAutomation OpportunitiesComplex ProductsMulti-Quarter Roadmaps
About the role
Key responsibilities & impact- Lead strategy and execution for complex products from discovery through value realization
- Own multi-quarter product vision and roadmaps
- Ship production-grade agentic automations for a multi-million-dollar savings workstream
- Build, ship, and iterate on AI tools, agents, plugins, and skills
- Lead cross-functional execution across Engineering, Data, and Operations
- Remove blockers, drive alignment, and move from discovery to deployment
- Own workstreams end-to-end: scope, build, ship, and iterate
- Partner with Data and Engineering to identify automation opportunities
- Validate solutions through experimentation and deploy successful solutions to production
- Leverage data-driven decision-making and emerging technologies to optimize product performance
- Mentor peers and align product direction with broader business objectives
Requirements
What you’ll need- Bachelor’s degree in computer science, engineering, or related area and 7 years’ experience in product management; or 9 years’ experience in product management or related area
- Prior experience developing and deploying AI agents in production environments
- Strong grasp of agentic development best practices, including context management, cost optimization, and reliability at scale
- Hands-on ability to ship code to production
- Strong understanding of AI agent architecture, including orchestration patterns, tool use, memory systems, retrieval-augmented generation, and multi-agent coordination
- Ability to evaluate frontier model advances for practical product applications
- Experience selecting and combining open-source and frontier models to optimize quality, latency, and total LLM spend
- Experience leading product strategy and managing roadmaps for complex or multiple related products
- Strong stakeholder management skills and ability to influence cross-functional teams without direct authority
Benefits
Comp & perks- Performance-based bonus awards
- Medical, vision, and dental coverage
- 401(k)
- Stock purchase
- Company-paid life insurance
- PTO, including sick leave
- Parental leave
- Family care leave
- Bereavement leave
- Jury duty leave
- Voting leave
- Short-term disability
- Long-term disability
- Company discounts
- Military Leave Pay
- Adoption and surrogacy expense reimbursement
- Live Better U education benefit program
- Tuition, books, and fees completely paid for eligible education programs