Founding Technical Partnerships Lead
At a glance
Senior Channel & Partnerships role at Clera. Munich · full-time · $100,000–$200,000 base.
Growth Roles summary, based on the employer's posting.
What you'll do
- Build relationships with frontier AI researchers and technical leaders, learning their priorities and constraints
- Turn ML researcher needs into dataset plans, experiments, and evaluation frameworks
- Pass customer feedback into the ML and experimental product roadmap
- Set partnership engagement, scaling, positioning, and go-to-market plans for advanced AI teams
What you bring
- At least three years in AI partnerships, business development, or research-facing work at relevant AI organizations
- A record of commercializing datasets or data offerings with frontier AI labs or similar research groups
- Strong knowledge of foundation models, post-training, evaluation methods, and AI agents
- Experience converting technical discovery into dataset specifications, experiments, evaluation protocols, and commercial opportunities
- Background creating go-to-market approaches and commercial structures for technical offerings
Who this fits
You’ll suit a senior operator who can connect technical ML research with commercial partnership work and act independently in an early-stage setting. The role is on-site, primarily in Munich, with options in Zurich or San Francisco. Visa sponsorship is unavailable.
From the employer
About the Role
This is a founding role at an early-stage AI infrastructure company building data and evaluation tooling for the teams training the world's most advanced AI models. You will serve as the primary bridge between the company and researchers and technical leaders at frontier AI labs, owning both the commercial relationship and the technical translation that makes those partnerships work. This is a high-ownership, high-impact position with the opportunity to build and lead the partnerships function from scratch.
What You'll Do
Build and manage relationships with researchers and technical leaders at frontier AI labs to understand their priorities and constraints.
Identify technical needs across post-training, evaluations, AI agents, and scientific data.
Translate technical requirements from ML researchers 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 scales partnerships with advanced AI teams.
Own go-to-market strategy and positioning for partnerships with frontier research organizations.
What We're Looking For
3 or more 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 comparable research organizations.
Deep technical understanding of foundation models, post-training methodologies, evaluation frameworks, and AI agents.
Proven ability to translate technical 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 machine learning research, ML engineering, scientific data generation, or laboratory automation is a plus.
Compensation & Benefits
Salary range: $100,000 to $200,000 USD annually. Visa sponsorship is not available for this role.
Location
On-site. Primary location is Munich, Bavaria, Germany, with additional options in Zurich, Switzerland or San Francisco, United States. Work arrangement is flexible and to be discussed.
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