Senior Product Manager, AI Platform and Developer Productivity

Job Title

Senior Product Manager, AI Platform and Developer Productivity

Role Summary

Lead product strategy and execution for AI platform initiatives that improve developer productivity across infrastructure, silicon, and software workflows. Partner with engineering, architecture, and platform teams to deliver AI-driven observability, profiling, automation, and developer tooling used by large-scale engineering organizations.

This is a high-visibility role requiring strong product judgment, systems thinking, and the ability to align cross-functional stakeholders to measurable outcomes.

Experience Level

Senior — requires extensive experience. The posting requests 12+ years of product management experience building developer platforms, infrastructure products, or AI/ML systems at scale.

Responsibilities

Primary responsibilities include setting strategy, prioritizing roadmaps, and driving cross-functional execution for AI-native developer and platform capabilities.

• Define product strategy and translate ambiguous technical problems into prioritized roadmaps.
• Engage directly with internal developer users to identify high-impact platform capabilities.
• Drive short- and long-term roadmap planning balancing customer impact, scalability, and feasibility.
• Identify and evaluate opportunities for AI-powered tooling, agentic automation, and developer productivity improvements.
• Establish product success metrics and use data to refine priorities and scope.
• Champion developer experience and UX quality for AI-assisted workflows.
• Communicate strategy and trade-offs to technical and executive audiences.
• Lead cross-functional collaboration across engineering, infrastructure, architecture, and design teams.

Requirements

Must-have technical experience and skills required to perform this role; a short list of preferred qualifications follows.

• Proven track record delivering developer platforms or infrastructure products at scale and driving adoption inside large organizations.
• Experience building products that incorporate LLM-powered agents, autonomous workflows, or AI-accelerated developer experiences.
• Technical depth in AI/ML infrastructure: distributed training, inference optimization, GPU-accelerated computing, and large-scale systems performance.
• Experience defining and delivering observability, telemetry, profiling, or performance tooling for engineering teams.
• Deep familiarity with modern SDLC tooling and developer workflows across build, test, deployment, and runtime environments.
• Strong systems thinking across hardware, infrastructure, APIs, platforms, and developer UX; excellent written and verbal communication.

Nice-to-have:

• Background in semiconductor, hardware, or systems software companies.
• Experience driving enterprise AI product adoption and measuring engagement.

Education Requirements

BS or MS in Computer Engineering, Computer Science, or a related technical field, or equivalent practical experience.

About the Company

Company: NVIDIA

Headquarters: Santa Clara, California, USA

NVIDIA is a global leader in accelerated computing, renowned for its innovative solutions in AI and digital twins that transform diverse industries. The company specializes in networking technologies, providing end-to-end InfiniBand and Ethernet solutions for servers and storage that optimize performance and scalability. NVIDIA serves sectors such as high-performance computing, enterprise data centers, and cloud computing, constantly reinventing its products and services to stay ahead in the market.