About the Role
Join an early-stage AI data and evaluation infrastructure team as its founding technical partnerships lead. You will connect frontier AI research teams with the datasets, evaluations, and commercial partnerships they need, while helping shape the partnerships function.
What You’ll Do

• Build relationships with researchers and technical leaders at frontier AI organizations and understand their priorities.

• Identify needs across model post-training, evaluations, agents, and scientific data.

• Translate technical requirements into dataset specifications, experiments, and evaluation frameworks.

• Bring customer insights into the machine learning and experimentation roadmap.

• Develop how the team serves research organizations at scale, including go-to-market strategy and commercial positioning.

• Help build and lead the partnerships function.

What We’re Looking For

• At least 3 years of experience in AI partnerships, business development, or research-facing roles at an AI data company, AI lab, technical AI startup, or research organization.

• Experience working with AI data and evaluations, closing enterprise deals, and building relationships with frontier AI research teams.

• Ability to turn conversations with ML researchers into concrete dataset specifications, experimental designs, and evaluation protocols.

• Experience developing partnerships with technical teams and identifying customer needs through technical discovery.

• Experience shaping go-to-market strategies and commercial models for technical products or services.

• Strong understanding of foundation models, post-training, agents, and evaluation methods; machine learning research or engineering experience is a plus.

• Comfort taking ownership in an ambiguous, early-stage environment with minimal process.

• Scientific data, experimental design, or laboratory automation experience is a plus.

Compensation & Benefits
Base salary: $100,000 to $250,000 USD annually. Visa sponsorship is not available.
Location
On-site in Munich, Bavaria, Germany.

About the Role
Join an early-stage AI data and evaluation infrastructure team as its founding technical partnerships lead. You will connect frontier AI research teams with the datasets, evaluations, and commercial partnerships they need, while helping shape the partnerships function.
What You’ll Do

• Build relationships with researchers and technical leaders at frontier AI organizations and understand their priorities.

• Identify needs across model post-training, evaluations, agents, and scientific data.

• Translate technical requirements into dataset specifications, experiments, and evaluation frameworks.

• Bring customer insights into the machine learning and experimentation roadmap.

• Develop how the team serves research organizations at scale, including go-to-market strategy and commercial positioning.

• Help build and lead the partnerships function.

What We’re Looking For

• At least 3 years of experience in AI partnerships, business development, or research-facing roles at an AI data company, AI lab, technical AI startup, or research organization.

• Experience working with AI data and evaluations, closing enterprise deals, and building relationships with frontier AI research teams.

• Ability to turn conversations with ML researchers into concrete dataset specifications, experimental designs, and evaluation protocols.

• Experience developing partnerships with technical teams and identifying customer needs through technical discovery.

• Experience shaping go-to-market strategies and commercial models for technical products or services.

• Strong understanding of foundation models, post-training, agents, and evaluation methods; machine learning research or engineering experience is a plus.

• Comfort taking ownership in an ambiguous, early-stage environment with minimal process.

• Scientific data, experimental design, or laboratory automation experience is a plus.

Compensation & Benefits
Base salary: $100,000 to $250,000 USD annually. Visa sponsorship is not available.
Location
On-site in Munich, Bavaria, Germany.