FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in product management for AI and developer products, with a strong focus on translating research into market-ready solutions. Proven ability to engage with engineering teams and partners to drive product strategy, adoption, and continuous improvement.
Highest-signal resume keywords
Product ManagementAI/ML ExpertiseAgent ArchitecturesOpen Source AdoptionBenchmark Design
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Product StrategyTechnical FluencyAutomated ExperimentationEvaluation DesignDeveloper ExperienceIntegration TechniquesReliability ImprovementUsability EnhancementDocumentation StandardsInteroperability
Soft Skills
Excellent CommunicationRelationship BuildingPortfolio-Level PrioritizationDecision-MakingCollaboration
Tools & Technologies
Observability ToolsEvaluation ToolsGTM StrategiesAgent InfrastructureDeveloper ToolingSDKsPlatform Integrations
Industry Keywords
AI ProductsOpen Source CommunitiesEmerging Technical CapabilitiesProduction ConstraintsResearch Publications
Tech Stack
Tools & technologiesOpen Source
About the role
Key responsibilities & impact- Drive product strategy and roadmaps for portfolio projects
- Set priorities, quality bars, and product outcomes with research and engineering teams
- Engage agent builders, observability and evaluation tool providers, and partners to secure early-access engagements
- Make joint research and integrations successful and turn market feedback into research directions and stronger product capabilities
- Translate research findings and techniques into usable products and features
- Define developer experience and product interfaces for open source tools
- Improve reliability, usability, documentation, benchmark coverage, and interoperability across tools
- Build adoption motion with Product Marketing, Solution Architects, and GTM teams
- Identify qualified partners and workloads, guide pilots, and create repeatable adoption playbooks
- Establish messaging and narrative for agent optimization and continuous improvement loops
- Define and inspect evidence of success across research, products, partners, open source adoption, and publications
- Own outcomes and decide what to scale, change, stop, or incubate next
Requirements
What you’ll need- Bachelor’s or Master’s degree in Computer Science, Engineering, AI/ML, or a related field, or equivalent experience
- 12+ years of product management or closely related experience building technically sophisticated, zero-to-one AI or developer products
- Record of turning ambiguous research or emerging technical capabilities into adopted products through partnership motion, integrations, or open source
- Technical fluency in agent architectures, observability, evaluation design, and automated experimentation techniques
- Ability to engage mature customers and ecosystem partners independently, recruit design partners, uncover production constraints, and guide GTM teams through emerging zero-to-one projects
- Positive relationship with Engineering and Research teams; ability to ask sharp questions, convert uncertainty into decisions, and support teams without prescribing implementation
- Evidence-driven product approach grounded in reproducible benchmarks, explicit success criteria, and clear judgment about supported claims
- Excellent written and verbal communication, portfolio-level prioritization, and ability to align senior technical and business leaders around a clear product narrative
- Experience building agent infrastructure, AI observability, evaluation, optimization, or developer tooling at a frontier AI lab or high-caliber startup
- Direct experience designing benchmarks, eval systems, experimentation approaches, or contributing to research publications for AI products
- Track record with open-source communities, SDKs, platform integrations, or developer ecosystems
- Hands-on familiarity building production agents and improving them on quantitative and qualitative dimensions
Benefits
Comp & perks- Equity
- Comprehensive benefits package