About the Role
Join an early-stage AI data and evaluation infrastructure company as its Founding Technical Partnerships Lead. You will work with frontier AI research teams to translate their needs into datasets, evaluations, and commercial partnerships, while helping establish and grow the partnerships function.
What You'll Do
Build relationships with researchers and technical leaders at frontier AI labs, and understand their priorities and constraints.
Identify needs in post-training, model evaluations, AI agents, and scientific data.
Translate technical requirements into dataset specifications, experiments, and evaluation frameworks.
Bring customer feedback and insights into the machine learning and experimental roadmap.
Develop approaches for serving frontier AI teams at scale and define partnership positioning and go-to-market strategy.
Help build and lead the partnerships team.
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.
Existing relationships with frontier AI labs and experience building partnerships with technical research teams.
Experience selling datasets, data products, or technical infrastructure, including closing enterprise deals.
Ability to turn machine learning researchers' needs into concrete dataset specifications, experimental designs, and evaluation protocols.
Strong understanding of foundation models, post-training, AI agents, and evaluation methods.
Experience developing go-to-market strategies and commercial models, and working independently in early-stage, ambiguous environments.
Experience with scientific data, experimental design, laboratory automation, machine learning research, or ML engineering is valuable.
Compensation & Benefits
Base salary: $100,000 to $250,000 USD annually. Visa sponsorship is not available.
Location
On-site in Munich, Bavaria, Germany. Other listed locations include Zurich, Switzerland, and San Francisco, United States; work arrangements for these locations are flexible to discuss.