Senior Product Manager, Agent Optimization
NVIDIA· Product Management
Hybrid (US-CA-Santa-Clara)$208k - $327.8kFull-timePosted 2w ago
About the role
Senior Product Manager to lead the applied research-to-product pipeline for agent optimization, driving strategy, partnerships, and open-source tool integrations to improve agent diagnosis, evaluation, and continuous improvement across the industry.
Responsibilities
- Drive the product strategy and relevant roadmaps for specific projects in your portfolio. Set priorities, quality bars, and clear product outcomes together with research & engineering teams.
- Work directly with agent builders, observability and eval tool providers, and other partners to secure early-access engagements, make joint research & integrations successful, and turn market feedback into research directions and stronger product capabilities.
- Partner with engineering & research to translate new findings and techniques into usable products and features.
- Define the developer experience and product interfaces for relevant open source tools in your portfolio.
- Partner with engineering and adjacent product teams to improve reliability, usability, documentation, benchmark coverage, and how multiple tools work together.
- Build the adoption motion with Product Marketing, Solution Architects, and GTM teams. Identify qualified partners and workloads, guide pilots, and create repeatable adoption playbooks.
- Establish the messaging and narrative for how our teams talk about agent optimization and continuous improvement loops. Clarify the distinct value of each product in your portfolio together with Product Marketing.
- Define and inspect the evidence for success across research results, product results, partner outcomes, open source adoption, and publications. Own the outcomes and decide what to scale, change, stop, or incubate next.
Qualifications
- 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.
- A record of turning ambiguous research or emerging technical capabilities into adopted products through a 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 real production constraints, and guide GTM teams through emerging zero-to-one projects.
- Positive relationship with Engineering and Research teams. Ask sharp questions, convert uncertainty into decisions, and support teams without prescribing implementation.
- An evidence-driven product approach grounded in reproducible benchmarks, explicit success criteria, and clear judgment about which claims the results support.
- Excellent written and verbal communication, portfolio-level prioritization, and the ability to align senior technical and business leaders around a clear product narrative.
Skills
Required:Product strategy and roadmappingCross-functional collaborationExperimentation and benchmarks
Nice to have:Open source / developer tooling
Benefits
- equity
- benefits (see NVIDIA benefits page)
Last updated Oct 9, 2026. Interested? Apply on the company site.
About NVIDIA
World Leader in AI Computing
NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.
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