NVIDIA Corporation

Senior Product Manager, Agent Optimization

NVIDIA Corporation • $208K — $379K *
US-AnywhereRemote in Santa Clara, CA
Enterprise Technology
11 - 15 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's or Master's degree in Computer Science, Engineering, AI/ML, or related field, or equivalent experience.
  • 12+ years of product management or closely related experience with AI or developer products.
  • Proven ability to transform ambiguous research into adopted products through partnerships and integrations.
  • Technical fluency in agent architectures, observability, and automated experimentation techniques.
  • Experience engaging with mature customers and ecosystem partners to uncover production constraints.
  • Strong relationship with Engineering and Research teams, capable of converting uncertainty into decisions.
  • Evidence-driven product approach with clear success criteria and reproducible benchmarks.

Responsibilities

  • Drive product strategy and roadmaps for specific projects, setting priorities and quality standards.
  • Collaborate with agent builders and tool providers to secure early-access engagements and enhance product capabilities.
  • Translate new research findings into usable products and features in partnership with engineering and research teams.
  • Define developer experience and product interfaces for open source tools in your portfolio.
  • Improve reliability, usability, and documentation in collaboration with engineering and adjacent product teams.
  • Build adoption strategies with Product Marketing and GTM teams, guiding pilots and creating playbooks.
  • Establish messaging for agent optimization, clarifying product value with Product Marketing.

Benefits

  • Equity options available.
  • Comprehensive health benefits.
  • Flexible work arrangements.
  • Professional development opportunities.
  • Access to cutting-edge technology and resources.
Full Job Description
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.


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.

About NVIDIA Corporation

Nvidia, a global leader in graphics, gaming, and AI technology, offers Nvidia careers and internship opportunities for those passionate about driving innovation in the tech industry. you'll find a company committed to growth, teamwork, and leadership in computer science and machine learning domains.

About Nvidia

A Pioneer in Technology and Innovation

Nvidia has cemented its reputation as a powerhouse in developing advanced graphics processing units (GPUs) and has significantly contributed to the gaming industry's evolution. Moreover, its foray into AI and machine learning has opened new frontiers in technology, making Nvidia a beacon of innovation and a desirable workplace for ambitious tech professionals.

Job Opportunities

Diverse Positions in a Dynamic Field

Nvidia is continuously on the lookout for talented individuals across various domains, including hardware and software engineering, product design, marketing, and sales. Employment opportunities at Nvidia are vast, catering to a wide range of expertise and career aspirations.

Employment in Hardware and Graphics

For those fascinated by the intricacies of hardware and graphics technology, Nvidia offers positions that sit at the forefront of gaming and computing advancements.

Growth in Machine Learning and AI

Nvidia's leadership in AI and machine learning has created numerous vacancies for specialists eager to contribute to groundbreaking projects.

Recruitment in Computer Science

With the constant demand for innovation, Nvidia's recruitment efforts focus on computer science experts capable of pushing the boundaries of what's possible.

Internship Program

Opening Doors to Future Innovators

Nvidia's internship program is designed to nurture the next generation of technology leaders, offering hands-on experience in a culture that celebrates creativity and teamwork.

Benefits and Culture

Interns at Nvidia enjoy a plethora of benefits, from competitive stipends to mentorship opportunities, all within an environment that values growth and learning.

Opportunities for Students

Whether you're an undergraduate, a master's student, or a Ph.D. candidate, Nvidia's internships provide a real-world glimpse into the tech industry, offering valuable experience in various technology fields.

Pathways to Full-Time Employment

Many interns have transitioned into full-time positions, marking the start of successful careers at Nvidia. The internship program is more than a stepping stone into the company; it’s an investment in the professional development of interns. The goal is to ensure that interns are well-equipped for future challenges.

Nvidia Careers: More Than Just a Job

Nvidia offers more than just a job to its employees; it provides a front-row seat on the journey into the future of technology. Nvidia stands as a pillar of innovation with its vast opportunities in hardware, graphics, gaming, machine learning, and computer science. Nvidia careers serve as a launching pad for talented workers who aim to redefine the technological landscape. Whether through full-time positions or internships, joining Nvidia means contributing to a legacy of breakthroughs and becoming part of a global community dedicated to pushing the boundaries of what's possible.
Learn more about NVIDIA Corporation
Size
22,473 employees
Market Cap
$350.4 billion
Industry
Net Income
$4.3 billion
Founded
1993
5 Year Trend
+31.3%
Revenue
$16.6 billion
NASDAQ

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