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Senior Product Manager, Switchyard

NVIDIA· Product Management
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Hybrid (Santa Clara, CA)$168k - $327.8kFull-timePosted 2w ago

About the role

Senior Product Manager to lead Switchyard, NVIDIA’s adaptive inference runtime for systems of models, responsible for product strategy, developer experience, integrations, GTM, and cross-team coordination to optimize task-level quality, cost, latency, and policy compliance.

Responsibilities

  • Drive Switchyard’s product strategy and roadmap. Set priorities, quality bars, and clear product outcomes together with Engineering.
  • Work directly with agent harness builders, inference gateways, model serving systems, and other partners to ensure successful integrations and translate market feedback into product capabilities.
  • Define the developer experience and product interfaces for adaptive inference.
  • Partner with Research to translate advances in cost and quality prediction, constrained optimization, and budget allocation into usable products and features.
  • Partner with Engineering to improve reliability, usability, documentation, SDK coverage, and the customization path for production deployments.
  • Build the adoption motion 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, coordinating with Product Marketing.
  • Define and inspect the evidence for success. Own the outcomes.
  • Coordinate across adjacent teams to build compelling joint product outcomes.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Engineering, AI/ML, or related field, or equivalent experience.
  • 8+ years of product management or closely related experience building technical products for developers, infrastructure teams, or AI practitioners.
  • A record of scaling developer or infrastructure products through a partnership motion and integrations, not only through a single first-party application.
  • Technical proficiency in LLM inference, model routing, agent runtimes, and developer APIs. Able to reason about quality/cost/latency tradeoffs.
  • Ability to engage mature customers and partners independently, uncover production constraints, and guide GTM teams through complex technical adoption.
  • Positive relationships with Engineering and Research teams. Able to ask sharp questions, convert uncertainty into decisions, and support teams without prescribing implementation.
  • Evidence-driven product approach grounded in benchmarks, evals, and explicit success criteria.
  • Excellent written and verbal communication, good judgment, and the ability to align senior technical and business leaders across boundaries.
  • Enough technical depth to inspect APIs, traces, and benchmark results and earn the trust of senior researchers and engineers.

Skills

Required:Product managementDeveloper relationsLLM inference

Benefits

  • Equity
  • Benefits (see NVIDIA benefits)
Last updated Oct 9, 2026. Interested? Apply on the company site.

About NVIDIA

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NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

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