Director, Product Management - Agent Tooling

NVIDIA•Santa Clara, CA

1d•$272,000 - $425,500

About The Position

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!

Requirements

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

Nice To Haves

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

Responsibilities

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