Founding Technical Partnerships Lead
At a glance
Senior Channel & Partnerships role at Clera. Munich · full-time · $100,000–$170,000 base.
Growth Roles summary, based on the employer's posting.
What you'll do
- Build connections with researchers and ML decision-makers at advanced AI organizations, then uncover their priorities
- Map technical requirements across post-training, evaluations, agents, and scientific data work
- Turn researcher discussions into dataset specifications, experiment plans, and evaluation methods
- Carry customer feedback into decisions about the ML and product roadmap
- Set partnership positioning and go-to-market plans while establishing the function for future team growth
What you bring
- At least three years in AI partnerships, business development, or research-facing work at technical AI organizations
- A record of selling datasets or data offerings to advanced AI labs or research groups
- Strong command of foundation models, post-training approaches, evaluation systems, and AI agents
- Experience converting technical discovery into dataset requirements, experiments, evaluation protocols, and commercial opportunities
- Comfort taking substantial ownership in an ambiguous early-stage setting with limited process
Who this fits
You’ll suit a senior individual contributor role that combines technical discovery, partnership selling, and roadmap influence. The position is based on-site in Munich, with Zurich and San Francisco also named as hubs, and the work arrangement can be discussed. 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 frontier AI labs. You will be the primary bridge between the technical team and the researchers and ML leaders at the world's most advanced AI organizations, owning partnerships end-to-end and helping shape how the company engages with its most important customers.
What You'll Do
Build and maintain relationships with researchers and technical leaders at frontier AI labs to surface priorities and constraints.
Identify technical needs across post-training, evaluations, agents, and scientific data domains.
Translate requirements from ML researchers into concrete dataset designs, experimental plans, and evaluation frameworks.
Feed customer insights and feedback directly into the ML and product roadmap.
Define go-to-market strategy and positioning for partnerships with advanced AI teams.
Own the partnerships function and lay the foundation to grow and lead a team over time.
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 research organizations.
Deep technical understanding of foundation models, post-training methodologies, evaluation frameworks, and AI agents.
Ability to translate technical conversations with ML researchers into executable dataset specifications, experimental designs, and evaluation protocols.
Track record of identifying customer needs through technical discovery and converting them into commercial opportunities.
Comfort operating in early-stage, ambiguous environments with significant individual ownership and minimal process.
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.
Compensation & Benefits
Salary range: $100,000 to $170,000 USD annually. Visa sponsorship is not available.
Location
On-site. Primary location is Munich, Bavaria, Germany, with additional hubs in Zurich and San Francisco. Work arrangement is flexible and can be discussed.
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