Senior Product Manager, AI Platform and Developer Productivity

NVIDIA•Santa Clara, WA

1d•$208,000 - $327,750•Hybrid

About The Position

We are seeking a Product Manager to lead strategic AI platform initiatives across infrastructure, silicon, and developer experience. You will define product vision and execution across AI observability, profiling, agentic automation, and AI-native developer workflows. Partnering closely with engineering, architecture, and platform teams, you will deliver AI-powered capabilities that improve how large-scale systems are built and operated across the organization. This is a high-visibility, high-ambiguity role requiring strong product judgment, systems thinking, and the ability to drive clarity and alignment across complex cross-functional initiatives. Hardware Infrastructure serves as the foundational platform for silicon development. We build and operate the systems, environments, and tools that enable hardware engineers to design, simulate, validate, and tape out chips. In addition, we support software teams specifically through our source control platforms, enabling development of new products. Our mission is to accelerate engineering velocity while maintaining the performance, efficiency, and reliability required to deliver world-class silicon, while ensuring seamless collaboration where hardware and software development intersect.

Requirements

BS or MS in Computer Engineering, Computer Science, or a related technical field, or equivalent experience.
12+ years of product management experience building developer platforms, infrastructure products or AI/ML systems at scale.
Experience leading products that incorporate LLM-powered agents, autonomous workflows or AI-accelerated developer experiences.
Strong technical depth in AI/ML infrastructure, including distributed training, inference optimization, GPU-accelerated computing, and large-scale systems performance.
Experience defining and delivering observability, telemetry, profiling, or performance tooling for engineering organizations.
Proven experience in fostering adoption of complex developer-facing products across large organizations.
Deep familiarity with modern SDLC tooling and developer workflows across build, test, deployment, and runtime environments.
Outstanding systems thinking with capacity to reason across the stack - from hardware and infrastructure layers through APIs, platforms, and end-user developer experiences.
Excellent written and verbal communication; able to distill ambiguous technical problems into clear product narratives.

Nice To Haves

Background in semiconductor, hardware, or systems software companies.
Experience driving enterprise quality AI product adoption - defining UX, measuring engagement, and working with internal champions.

Responsibilities

Define product strategy and execution across a portfolio of AI platform initiatives, translating ambiguous technical challenges into clear problem statements, product direction, and prioritized roadmaps.
Develop deep empathy for internal developers and engineering teams through direct engagement, turning user challenges into intuitive, high-impact platform capabilities.
Drive roadmap planning across short- and long-term horizons, balancing customer impact, technical feasibility, scalability, and strategic business priorities.
Identify and evaluate high-value opportunities for AI-powered tooling, agentic automation, and developer productivity improvements, with a strong focus on measurable adoption and operational impact.
Establish product success metrics and use data-driven insights to continuously refine prioritization, feature scope, and user experience.
Champion developer experience and UX quality by understanding real engineering workflows, trust dynamics in AI-assisted tooling, and the factors that drive sustained platform adoption.
Communicate product strategy, trade-offs, and execution plans clearly across technical and executive audiences, influencing decisions at all levels of the organization.
Lead cross-functional collaboration across engineering, infrastructure, architecture, and design teams, driving alignment and execution in a highly matrixed environment.