Healthcare AI Startups Lead, DACH

Healthcare AI Startups Lead, DACH

NVIDIA is seeking a passionate and driven Healthcare Life Science (HCLS) DACH Startup Lead to build and scale NVIDIA’s developer ecosystem across the DACH region. Over 4,500 healthcare life science startups already participate in NVIDIA’s Inception program, and the DACH regions are critical for continuing to grow participation and engagement with the HCLS startup community.

This role involves leading engagement with HCLS startups in the region and the broader startup developer ecosystem. The goal is to accelerate the adoption of NVIDIA technology through scalable programming, hands-on engagement, and strategic partnerships. You will design, execute, and support programs to engage HCLS AI developers at scale—raising awareness, enabling trial and evaluation, surfacing feedback, and ultimately enabling HCLS startups to adopt NVIDIA technologies. You’ll identify where developers convene—innovation clusters, accelerators, regionally funded initiatives—and deliver creative, resonant programming across the region.

The ideal candidate brings 12+ years of experience, can navigate fast-moving startup ecosystems, understands how to engage the HCLS startup community in the DACH region, including VCs and accelerators, and brings the creativity and intensity to lead teams, engage founders, and scale developer impact across the region.

What You’ll Be Doing

• Engage the HCLS AI Startup Community in the DACH region: Build and scale programs that connect regional HCLS startups to NVIDIA technologies, leveraging NVIDIA’s Inception programs, regional hubs, accelerators, and events efficiently at scale.
• Engage regional Venture Capital firms and funding entities at scale: Extend NVIDIA programs to regional VCs and other HCLS AI investors, engaging them to scale and accelerate adoption of NVIDIA technology to startups.
• Drive Regional Strategy, Execution, and Operational Excellence: Develop and execute regional strategies; define and track operational metrics to continuously improve startup and VC engagement at scale.
• Act as Regional Interface and SME: Serve as NVIDIA’s subject matter expert and main interface for the HCLS startup ecosystem in the DACH region, surfacing feedback and ensuring alignment with global teams.

What We Need To See

• 12+ years of experience in developing and delivering startup engagement programs at scale, developer relations, business development, or startup ecosystems.
• BS or MS in engineering, biology, chemistry or equivalent experience.
• Deep understanding of HCLS startup and VC communities in the region.
• Track record of building and scaling developer or startup engagement programs.
• Strong communication and program management skills.

Ways to Stand Out From the Crowd

• Knowledge of AI, machine learning, or HPC technologies.
• Experience with regional VC, incubator hub, etc.
• Familiarity with DACH region’s major startup hubs.

NVIDIA Offers

NVIDIA is at the forefront of AI and accelerated computing, widely regarded as one of the most innovative companies in technology. You will have the opportunity to:

• Work with cutting-edge technology shaping the future of AI and startups.
• Build communities and programs that empower thousands of developers.
• Collaborate in a culture that values creativity, autonomy, and impact.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Key skills/competency

• Startup Ecosystem Management
• Developer Relations
• Business Development
• Strategic Partnerships
• Program Management
• Venture Capital Engagement
• Healthcare Life Sciences (HCLS)
• Artificial Intelligence (AI)
• Machine Learning
• Accelerated Computing