EU Startup Ecosystem Partner Manager

NVIDIA; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

NVIDIA invites applications for a Startup Partner Manager to scale the NVIDIA Inception ecosystem across Europe. You will recruit and enable startups leveraging CUDA, NVIDIA SDKs, and GPU-accelerated AI infra, collaborating with cross-functional teams to drive production deployment.

You will engage technical founders, translate roadmaps into platform requirements, and enable engineering leaders while traveling up to 40% of the time.

Qualifications

• 8+ years of professional experience in related fields such as startup accelerators or incubators, executive or senior roles at technology startups, platform ecosystem development at large technology companies, or venture capital with a strong technology focus
• Bachelor’s degree in Computer Science, Engineering, Mathematics, Physics, or a related technical field, or equivalent demonstrable technical experience; advanced degrees are a plus
• Strong affinity for AI, machine learning, data science, and accelerated computing, with working familiarity across CUDA, GPU architectures, NVIDIA SDKs, and modern AI tooling
• Ability to engage credibly with technical founders, engineering leaders, and researchers, and to translate complex platform concepts into clear, actionable guidance
• Excellent interpersonal skills; comfortable working across a broad ecosystem of startup founders, researchers, investors, and NVIDIA internal teams
• Strong written and verbal communication and presentation skills; ability to represent NVIDIA Inception as a technically credible platform partner
• Curious, analytical, and proactive mindset with a continuous focus on improving technical enablement, platform adoption, and ecosystem outcomes
• Willingness to travel around 40% of the time across Europe to engage directly with startups, developers, and investors

Responsibilities

• Identify, engage, technically assess, and recruit the most relevant and promising startups across Europe building on NVIDIA-accelerated platforms, with a focus on Media & Entertainment, LegalTech, AI Developer Tools, Data Science, and Generative AI
• Evaluate startup technical maturity, architecture decisions, and platform alignment, including usage of CUDA libraries, NVIDIA SDKs, AI frameworks, GPU-accelerated data pipelines, and training/inference stacks
• Share ecosystem, technology, and developer-level insights with internal stakeholders, translating startup feedback into actionable input for NVIDIA platform, SDK, and product teams
• Act as the voice of NVIDIA Inception members by developing a deep understanding of their technical roadmaps, research foundations, system architectures, and platform dependencies
• Provide Inception members with technically relevant content, enablement, and tooling to accelerate adoption of CUDA-based libraries, NVIDIA SDKs, AI frameworks, and developer platforms
• Design and lead one-to-few technical workshops, briefings, and deep dives in collaboration with Solutions Architects and Developer Relations, focused on accelerating time-to-production and platform optimization on NVIDIA technologies
• Work closely with the venture capital ecosystem to surface technically differentiated startups, share investment-grade technical insights, and support portfolio companies with compute, infrastructure, and platform strategy
• Support sell-to and sell-with motions in alignment with NVIDIA sales teams, channel partners, and startups’ enterprise customers, particularly where GPU acceleration, CUDA performance, and platform differentiation are central to the value proposition

Skills

Startup ecosystem development

Executive or senior roles

Technical credibility with founders

Strong communication

Willingness to travel

Education

Bachelor’s degree in Computer Science, Engineering, Mathematics, Physics, or related field

Job description

NVIDIA invites applications for a Startup Partner Manager to scale the NVIDIA Inception ecosystem across Europe. You will recruit and enable startups leveraging CUDA, NVIDIA SDKs, and GPU-accelerated AI infra, collaborating with cross-functional teams to drive production deployment.

You will engage technical founders, translate roadmaps into platform requirements, and enable engineering leaders while traveling up to 40% of the time.