Senior Product Manager, Switchyard

Job Description:

• 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:

• 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:

• Equity
• Comprehensive benefits package
• Competitive salaries