Job description

Open large language models (LLMs) are unlocking exciting new capabilities. Developing, training, and deploying these models requires both technical expertise and domain-specific knowledge. They power applications in data centers and at the edge, including automobiles, drones, and medical devices. As their agentic capabilities expand, so does the need to identify and mitigate potential risks. NVIDIA is at the forefront of advancing research and delivering product innovations for the broader AI community! As the Nemotron Product Manager for Model Risk, you will lead key areas of NVIDIA's model risk management portfolio, addressing frontier challenges in cybersecurity, content moderation, data protection, and more. Nemotron makes model checkpoints, datasets, and training techniques available to the community to help minimize risk and broaden adoption. You will define model safety requirements and evaluations, partnering with research and engineering teams to reduce harmful outputs and improve model robustness. You will also engage with customers to define products and roadmaps, develop business strategy and market positioning, and bring products to market. We need a self-starter to grow this area and help build the future of AI.! What you'll be doing: • Enterprise Model Risk Management: Define requirements for model evaluations and mitigations, such as post training improvements and guardrails • Contribute to Open Source: Publish and guide the community on best practices for identifying and mitigating open model risks. • Define and Prove: Collect insights and build market analysis that provides the data to enter or change new markets through a clear value proposition for the product • Market intelligence: Understand the developers, partners, and competitors • Build and Deliver: Collaborate with engineering to promote the customer's needs through setting feature priorities across roadmaps • Sense and Respond: Work closely with customers, build surveys, present at conferences, understand product quality and supervise critical bugs • Marketing content creation: Work with marketing to define positioning that enables the creation of technical content, including blog posts, webinars, developer tutorials, and more to communicate the product value proposition • Product launches: Define the go-to-market strategy and provide mentorship to the cross-functional implementation of the plan across marketing, public relations, and sales. What we need to see: • BS or MS in Computer Science, Engineering, or other technical field (or equivalent experience). MBA is a plus. • 15+ overall years of technical product management, or similar, experience at a technology company • 6+ years direct people management experience. • Passion for delivering software, libraries and SDKs • Proven track record of teamwork across teams, customers, and partners • Outstanding interpersonal and public communication skills with a shown ability to articulate a value proposition to technical and non-technical audiences Ways to stand out from the crowd: • Background working with Large Language Models, specifically with setting evaluation tasks as well as curating data, training or fine-tuning, to increase model capabilities • Experience with enterprise AI safety, responsible AI, or model risk management. NVIDIA is widely considered one of the technology world’s most desirable employers. We have some of the world's most forward-thinking and hardworking people on our team. . As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/ Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 425,500 USD. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until October 11, 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.

Requirements

Must-haves

Enterprise Model Risk Management: Define requirements for model evaluations and mitigations, such as post training improvements and guardrails
Contribute to Open Source: Publish and guide the community on best practices for identifying and mitigating open model risks.
Define and Prove: Collect insights and build market analysis that provides the data to enter or change new markets through a clear value proposition for the product
Market intelligence: Understand the developers, partners, and competitors
Build and Deliver: Collaborate with engineering to promote the customer's needs through setting feature priorities across roadmaps
Sense and Respond: Work closely with customers, build surveys, present at conferences, understand product quality and supervise critical bugs
Product launches: Define the go-to-market strategy and provide mentorship to the cross-functional implementation of the plan across marketing, public relations, and sales.
15+ overall years of technical product management, or similar, experience at a technology company
6+ years direct people management experience.
Passion for delivering software, libraries and SDKs
Proven track record of teamwork across teams, customers, and partners
Outstanding interpersonal and public communication skills with a shown ability to articulate a value proposition to technical and non-technical audiences
Background working with Large Language Models, specifically with setting evaluation tasks as well as curating data, training or fine-tuning, to increase model capabilities
Experience with enterprise AI safety, responsible AI, or model risk management.
You will also be eligible for equity and benefits .
Applications for this job will be accepted at least until October 11, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.

Nice-to-haves

BS or MS in Computer Science, Engineering, or other technical field (or equivalent experience). MBA is a plus.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aigo

Platform: eightfold
Effort: medium