Senior Product Manager — Media2

NVIDIA•Santa Clara, CA

36d

About The Position

Are you ready to join a team that's pushing the boundaries of AI and media? NVIDIA is at the forefront of redefining the next era of computing, and our Media2 Product Management team is leading the charge. As a Senior Product Manager, you’ll play a critical role in bringing GPU accelerated AI to live sports. This is an outstanding opportunity to build the future of AI in live sports media, working alongside world-class engineers, key customers, and partners to achieve flawless execution!

Requirements

BS/MS/PhD or equivalent experience
12+ years of product management experience and a proven track record of shipping successful software.
Familiarity with AI/ML concepts, including LLMs, VLMs, and real-time inference, with an ability to reason about model performance, latency/efficiency trade-offs, and containerized deployment of AI services.
Highly technical expertise, including knowledge of Linux, containerized workflows (Kubernetes), distributed systems, and GPU-accelerated and real-time software.
Strong communication and leadership, with the ability to write and present clearly and influence key collaborators internally and externally.

Nice To Haves

Experience with sports media analytics platforms and their application in global sports engagements.
Demonstrated success in shipping AI-for-media features with measurable improvements in accuracy and cost, and experience applying AI to virtual production and broadcast use cases.
Experience with NVIDIA’s development platforms including CUDA, NIM, NVAIE, NeMo, and Blueprints.
Solid understanding of broadcast and live sports media workflows, including ST 2110, Virtual Production, production control, and live/near-live workflows.
A developer-first platform approach with strong instincts around NIM/SDKs/APIs, sample apps, and reference workflows that delight system integrators and development partners.

Responsibilities

Assisting in shaping the AI platform vision & roadmap for Media2, outlining strategy, success indicators, and multi-release schedules that align with NVIDIA’s AI and accelerated computing strategy.
Translating customer workflows into product specifications by gathering requirements from industry collaborators, studios, and enterprise media teams, and writing concise PRDs with actionable MVP steps.
Partnering closely with engineering to define specifications for AI model requirements.
Crafting go-to-market positioning, licensing/pricing, early-access programs, and launch plans; enabling field, GSI/ISV partners, and key lighthouse customers; driving platform activation and usage growth.
Collaborating with standards bodies, partners, and integrators to ensure compatibility with enterprise hardware, storage, and security/compliance requirements.
Championing continuous improvement by defining requirements for latency, efficiency, reliability, time-to-first-frame, and cost per channel.
Analyzing telemetry and usage data and iterating quickly to improve developer experience and operational robustness.