Senior Product Manager, Agent Optimization
NVIDIA is hiring a Senior Product Manager, Agent Optimization in Santa Clara, United States. It pays $208k-$328k a year and Level rates it ; you can apply on NVIDIA.
Level's read on this job
- Works on AI ●●●○ is how Level rates this AI product manager role: the daily work is on AI products, without building the model.
- Pay on this posting starts 16% higher than the typical AI product manager posting on Level.
- The posting mentions AI research, product management and AI agents among its tools and skills.
- Level classes it as a senior role.
- NVIDIA has 2,700+ other open roles on Level.
AI in this role
Senior Product Manager leading applied research-to-product pipelines for AI agent optimization, evaluations, and open-source tool integrations at NVIDIA.
NVIDIA needs a Senior Product Manager to lead our applied research-to-product pipeline for agent optimization. Our applied AI research engineering team invests in multiple areas related to optimizing agents for improved quality, cost efficiency, and safety. Projects include helping developers find important signals in large-scale trace datasets, crafting trustworthy custom evals for production agents, and continual learning to improve harness and model behavior. Manage fast paced research and early partner collaborations into open source tools that impact how agents are diagnosed, evaluated, and improved across the industry!
What you’ll be doing:
- 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.
What we need to see:
- 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.
Ways to stand out from the crowd:
- 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.
- A track record with open-source communities, SDKs, platform integrations, or developer ecosystems.
- Hands-on familiarity building production agents and successfully improving them on both quantitative and qualitative dimension.
With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most hard-working and dedicated people on the planet working for us and, due to unprecedented growth, our Product Management teams are growing fast. If you’re a creative technologist with a genuine passion for these topics, we want to hear from you.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 208,000 USD - 327,750 USD for Level 5, and 240,000 USD - 379,500 USD for Level 6.You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until October 6, 2026.This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.How we rate this
Senior Product Manager, Agent Optimization at NVIDIA rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in AI product manager jobs at this level
Pay
- This job starts at
- $208k
- Typical AI product manager job
- $180k
This posting starts 16% above the typical AI product manager job. See AI product manager jobs
Questions you could be asked
- Tell me about a research question you investigated. What did you find?
- Tell me about a project where product management was part of your work. What did you do?
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Tell me about a project where machine learning was part of your work. What did you do?
- Tell me about a project where developer tools was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: AI Research, Product Management, AI agents, Machine learning, and Developer Tools. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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