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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 technical products, particularly in AI/ML and developer ecosystems, with a strong focus on integrating advanced inference technologies and optimizing developer experiences. Proven ability to collaborate across teams and drive product strategy based on evidence-driven approaches.
Highest-signal resume keywords
Product ManagementLLM InferenceModel RoutingDeveloper APIsTechnical Proficiency
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 StrategyAdaptive InferenceIntegration ManagementQuality PredictionCost OptimizationLatency TradeoffsAPI InspectionInference OptimizationSDK CoverageDeployment Playbooks
Soft Skills
Excellent CommunicationGood JudgmentRelationship BuildingCross-Organizational AlignmentIndependent Engagement
Tools & Technologies
Agent RuntimesModel Serving SystemsInference GatewaysEval SystemsDistributed InferenceTest-Time Compute
Industry Keywords
AI/MLDeveloper EcosystemsOpen-Source CommunitiesInfrastructure ProductsTechnical Adoption
About the role
Key responsibilities & impact- Drive Switchyard’s product strategy and roadmap, setting priorities, quality bars, and product outcomes with Engineering
- Work with agent harness builders, inference gateways, model serving systems, and partners to make integrations successful
- Define the developer experience and product interfaces for adaptive inference
- Partner with Research to translate cost and quality prediction, constrained optimization, and budget allocation advances into products and features
- Partner with Engineering to improve reliability, usability, documentation, SDK coverage, and production customization
- Build adoption motions with Product Marketing, Solution Architects, and GTM teams
- Identify qualified workloads, guide partner pilots, and build repeatable deployment playbooks
- Establish messaging and narrative for model routing and adaptive inference with Product Marketing
- Define and inspect evidence for success and own outcomes
- Coordinate across adjacent teams to build joint product outcomes
Requirements
What you’ll need- Bachelor’s or Master’s degree in Computer Science, Engineering, AI/ML, or a related field, or equivalent experience
- 8+ years of product management or closely related experience building technical products for developers, infrastructure teams, or AI practitioners
- Record of scaling developer or infrastructure products through partnership motions and integrations
- Technical proficiency in LLM inference, model routing, agent runtimes, and developer APIs
- Ability to reason about quality, cost, and latency tradeoffs
- Ability to engage mature customers and partners independently and guide GTM teams through complex technical adoption
- Positive relationships with Engineering and Research teams
- Evidence-driven product approach grounded in benchmarks, evals, and explicit success criteria
- Excellent written and verbal communication and good judgment
- Ability to align senior technical and business leaders across organizational boundaries
- Technical depth to inspect APIs, traces, and benchmark results directly
- Experience with LLM routers, AI gateways, model serving, distributed inference, or dynamically allocated test-time compute
- Experience taking research from prototype to a reliable, adopted developer product
- Track record with open-source communities, SDKs, platform integrations, or developer ecosystems
- Hands-on familiarity with agent building, eval systems, and inference optimization
Benefits
Comp & perks- Equity
- Comprehensive benefits package
- Competitive salaries