NVIDIA is redefining the life sciences industry, where AI agents design experiments, robotic labs implement them, and data platforms collect the results to train the next generation of models. We are seeking a Product Marketing Manager to drive awareness and adoption across three vital pillars of our partner ecosystem - Scientific AI Agents, Autonomous Labs/ Manufacturing Facilities, and R&D Data Platforms.

In this role, you will bridge the gap between NVIDIA’s core product teams for agentic AI, physical AI for robotics, and many other industry partners building the future of drug discovery and therapy production. You will convert complex technical capabilities into clear narratives. These narratives will demonstrate how NVIDIA’s accelerated computing and AI stack serves as the operating system for the modern lab.

What you'll be doing:

The ideal candidate is an authority in positioning within this emerging space with a sharp eye for the "big picture." You will be responsible for identifying the most compelling ecosystem stories and translating them into high-quality content that helps our team strengthen NVIDIA’s narrative in the industry.

Ecosystem Activation: Lead go-to-market strategies for three core segments of our partner ecosystem that collaborates with NVIDIA to accelerate how they build Scientific Reasoning Agents, Autonomous Labs and Manufacturing workflows, and pharma R&D Platforms.
Messaging and Positioning: Translate breakthroughs in AI-driven life sciences R&D and Manufacturing into credible and differentiated value propositions for a variety of audiences including developers, executives and reporters.
High-Stakes Storytelling: Identify "big-picture" success stories within the ecosystem and serve as a lead writer for various audiences, crafting blogs, technical deep-dives, and pitches that help our teams drive both demand and earned media.
Work with partners to create "Better Together" solution briefs, presentations, and demos that illustrate how NVIDIA’s technology accelerates their specific application in the end market.
Cross-Product Launches: Coordinate across multiple internal product teams to ensure a unified industry voice during major launches and events.
Field Enablement: Equip NVIDIA and partner sales teams with the training, messaging, and assets required to articulate the value of NVIDIA to the life sciences market.

What We Need to See:

Bachelor’s degree or equivalent experience in a technical, life sciences, or business field.
8+ years of experience in product marketing, product management, or life sciences technology
Deep understanding of the life sciences R&D lifecycle
Outstanding writing, storytelling, and presentation skills, supported by a strong product marketing or product management portfolio (blogs, decks, briefs, or launches).
Proven success collaborating across cross-functional teams and thriving in fast-paced, evolving environments.

Ways to Stand Out from the Crowd:

Experience marketing sophisticated technologies in at least one of our core pillars: Agentic AI (generative models for scientific reasoning), Autonomous Robotics (lab automation or software-defined manufacturing), or Data Platforms (multi-modal R&D data platforms).
Familiarity with NVIDIA AI tools and frameworks
Consistent record of building go-to-market programs with partners in life sciences.
A strategic problem solver who blends domain proficiency with technical curiosity and can drive cohesive storytelling across complex ecosystems.
Master’s degree, MBA, or equivalent experience in business, healthcare, or computer science.

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 230,000 USD for Level 4, and 184,000 USD - 287,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 4, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.