Founding Technical Partnerships Lead

About the Role

This is a founding role at an early-stage AI infrastructure company building data and evaluation tooling for frontier AI labs. You will be the primary bridge between the company and the researchers and technical leaders training the world's most advanced models, owning a critical commercial function with the opportunity to build and lead the partnerships team.

What You'll Do

Build and deepen relationships with researchers and technical leaders at frontier AI labs to understand their priorities and constraints. Identify technical needs across post-training, evaluations, agents, and scientific data domains. Translate technical requirements into concrete dataset designs, experiments, and evaluation frameworks. Feed customer insights and feedback directly into the ML and experimental product roadmap. Define how the company engages with and serves frontier labs at scale. Own go-to-market strategy and positioning for partnerships with advanced AI teams.

What We're Looking For

3+ years in AI partnerships, business development, or research-facing roles at AI labs, technical AI startups, or frontier research organizations. Demonstrated experience selling datasets or data products to frontier AI labs or research organizations. Deep technical understanding of foundation models, post-training methodologies, evaluation frameworks, and AI agents.

Ability to translate ML researcher requirements into concrete dataset specifications, experimental designs, and evaluation protocols. Track record of identifying customer needs through technical discovery and converting them into commercial opportunities. Experience defining go-to-market strategies and commercial models for technical products or services.

Comfort operating in early-stage, ambiguous environments with minimal process and significant individual ownership. Prior experience at a frontier AI lab or advanced AI research organization is a strong plus. Background in ML research, ML engineering, or scientific data generation is a plus.

Location On-site in Munich, Germany (primary), with openness to Zurich or San Francisco. Work arrangement is flexible and discussed on a case-by-case basis. Visa sponsorship is not available.

ABOUT THE ROLE

This is a founding role at an early-stage AI infrastructure company building data and evaluation tooling for frontier AI labs. You will be the primary bridge between the company and the researchers and technical leaders training the world's most advanced models, owning a critical commercial function with the opportunity to build and lead the partnerships team.

WHAT YOU'LL DO

• Build and deepen relationships with researchers and technical leaders at frontier AI labs to understand their priorities and constraints.
• Identify technical needs across post-training, evaluations, agents, and scientific data domains.
• Translate technical requirements into concrete dataset designs, experiments, and evaluation frameworks.
• Feed customer insights and feedback directly into the ML and experimental product roadmap.
• Define how the company engages with and serves frontier labs at scale.
• Own go-to-market strategy and positioning for partnerships with advanced AI teams.

WHAT WE'RE LOOKING FOR

- 3+ years in AI partnerships, business development, or research-facing roles at AI labs, technical AI startups, or frontier research organizations.

• Demonstrated experience selling datasets or data products to frontier AI labs or research organizations.
• Deep technical understanding of foundation models, post-training methodologies, evaluation frameworks, and AI agents.
• Ability to translate ML researcher requirements into concrete dataset specifications, experimental designs, and evaluation protocols.
• Track record of identifying customer needs through technical discovery and converting them into commercial opportunities.
• Experience defining go-to-market strategies and commercial models for technical products or services.
• Comfort operating in early-stage, ambiguous environments with minimal process and significant individual ownership.
• Prior experience at a frontier AI lab or advanced AI research organization is a strong plus.
• Background in ML research, ML engineering, or scientific data generation is a plus. LOCATION On-site in Munich, Germany (primary), with openness to Zurich or San Francisco. Work arrangement is flexible and discussed on a case-by-case basis. Visa sponsorship is not available.