Principal Product Manager

NVIDIA•Us, CA

About The Position

NVIDIA IT's Enterprise AI Products team is seeking a Principle Product Manager to lead our AI platform and developer experience, anchored by Astra, our AI agent and sandbox platform. This high-visibility, high-complexity role involves setting the vision, driving the roadmap, aligning collaborators, and communicating with executives. If you have a passion for AI and want to develop how NVIDIANs build with AI, this is the perfect opportunity!

Requirements

15+ years in product management with a proven track record of innovation and at least one product you started and shipped end to end.
BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering or related fields (or equivalent experience).
Experience with AI platforms and/or developer platforms (APIs, SDKs, developer tools, agent or infrastructure products).
Strong leadership, collaborator management, and executive communication skills.
Ability to lead and improve the work of other product managers.
Strong product sense and customer focus.
You start from the job to be done, not features.

Nice To Haves

Excellent platform and developer-experience product sense: you make complex tooling feel simple to adopt.
A clear growth mindset and visible career progression, with growing scope and impact over time.
Genuine excitement to build, not just to manage. You want to make things, not only run processes.
Builder DNA. You can prototype an agentic workflow or stand up a proof of concept yourself.
Shipped agentic AI in production, not just demos.

Responsibilities

Taking responsibility for the vision, strategy, roadmap, and results of an AI agent and sandbox platform along with its developer experience.
Defining the platform primitives, APIs, and workflows that internal builders adopt.
Driving alignment across partner teams and communicating clearly to executives.
Managing the activities of multiple product managers involved in joint platform initiatives.
Balancing innovation at the frontier of AI with the rigor of building for scale and reliability.
Setting the adoption and developer-engagement metrics that anchor the platform's success.