Skip to content

Director, Product Management - Agent Tooling

NVIDIA

USonsite$272k-$426k/yrPosted May 22, 2026

At a glance

Highlights

  • Desirable employer
  • Equity and benefits
  • Competitive salary range
  • Lead AI developer tools
  • Shape AI agent platforms

Why this role might suit you

The position provides an opportunity to lead strategic product initiatives for AI developer tools at a leading GPU company, with competitive salary, equity, and the chance to shape how millions of developers build and deploy AI agents.

Skills

aimlgpucudaai-agentevaluation-harnessbenchmarkingobservabilitydeploymentruntimesdkapicommand-lineidemodel-servingorchestrationtool-useaccelerated-computingdistributed-systemsparallel-computing

About the role

We are looking for a Director of Product Management to lead strategy for developer tools, SDKs, AI agent platforms, harnesses, and evaluation infrastructure that help developers build, test, deploy, and scale intelligent systems on NVIDIA technology. This role combines technical product leadership, ecosystem strategy, and deep empathy for developers working at the frontier of AI, accelerated computing, and autonomous software systems.You will help shape how millions of developers engage with NVIDIA’s AI platforms, from low-level GPU programming to high-level agentic application development.

You will define products that make it easier to build with models, tools, runtimes, APIs, orchestration frameworks, evaluation harnesses, and production-grade AI workflows!

What you'll be doing:

Drive product strategy for developer tools, SDKs, AI agent platforms, harnesses, and evaluation systems that improve developer and agent productivity across AI, accelerated computing, robotics, simulation, HPC, and graphics workflows

Define product roadmaps for agentic development infrastructure, including tool-use frameworks, orchestration layers, runtime environments, memory and context systems, evaluation harnesses, benchmarking workflows, observability, and deployment patterns

Lead cross-functional teams of engineers, designers, researchers, technical writers, developer advocates, and partner teams, encouraging rapid experimentation and user-centric development

Collaborate with our community by engaging directly and using data-driven insights to uncover difficulties and develop impactful product roadmaps

Collaborate with engineering leadership to balance technical feasibility, platform architecture, ecosystem needs, and market demand when making prioritization decisions

Establish success metrics and feedback loops for developer adoption, agent performance, harness reliability, time-to-first-success, workflow completion, ecosystem engagement, and production readiness

Shape NVIDIA’s point of view on how developers build, evaluate, and operate AI agents and AI-native applications using accelerated computing

Own end-to-end product lifecycle from discovery through launch, establishing metrics and feedback loops that drive continuous improvement

What we need to see:

Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent experience

18+ overall years of product management, engineering, or technical leadership experience, with 5 years leading developer-focused products or platforms

8+ years of Direct People Management Experience

Strong technical background with hands-on software development experience, preferably in AI infrastructure, developer platforms, ML frameworks, or GPU computing

Experience building products for developers who work with APIs, SDKs, command-line tools, IDEs, frameworks, runtimes, model-serving systems, or production software platforms

Understanding of modern AI development workflows, including LLMs, agents, tool use, retrieval, orchestration, evaluation, benchmarking, monitoring, and deployment

Proven track record building and scaling developer ecosystems around technically sophisticated products

Experience leading high-performing product teams and aligning collaborators across engineering, research, marketing, and business functions

Demonstrating strong analytical abilities by using data for product decision-making and measuring developer engagement

Excellent communication abilities to translate deeply technical concepts for diverse audiences

Ways to stand out from the crowd:

Advanced degree in Computer Science, Engineering, or related field with focus on AI/ML, distributed systems, or parallel computing

Direct experience shipping AI agent frameworks, evaluation harnesses, developer tools, SDKs, or infrastructure used in production

Background in AI evaluation, benchmarking, test harness design, reliability engineering, observability, or production AI operations

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. If you're creative, technically curious, and autonomous, 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 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 May 26, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

Compensation

This Software Engineer role pays $272k-$426k/yr. Within typical range for software engineer roles in United States.

Questions about this role

  • How do I apply to this Director, Product Management - Agent Tooling role at NVIDIA?

    Click "Apply with AI Applyd" above. We auto-fill the application from your resume and answer screening questions in seconds. No copy and paste, no juggling tabs.

  • What's the typical salary for Software Engineer in United States?

    Compensation for Software Engineer roles in United States varies widely by seniority, employer size, and remote vs onsite arrangement. Check the salary range on this listing when published, or browse our Software Engineer hub for United States medians across recent openings.

  • How fast does AI Applyd auto-apply?

    Most applications complete in under 90 seconds. You can track the status in your dashboard and watch the screenshot proof land the moment the application submits.

  • What ATS does NVIDIA use?

    AI Applyd supports Greenhouse, Lever, Ashby, Workday, iCIMS, SmartRecruiters, LinkedIn Easy Apply, and most other ATS platforms. If we can submit through the platform, we do.

Want AI Applyd to auto-apply to roles like this?

We tailor your resume per posting, fill the forms, and track replies for you.