Founding Technical Partnerships Lead - #2708970
Clera
Date: vor 34 Minuten
Stadt: München
Vertragstyp: Ganztags
Arbeitsplan: Volle Tag
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
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.
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.
- 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.
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.
Wie bewerbe ich mich?
Um sich für diesen Job zu bewerben, müssen Sie auf unserer Website autorisieren. Wenn Sie noch kein Konto haben, registrieren Sie sich bitte.
Veröffentlichen Sie einen LebenslaufÄhnliche Jobs
Event Marketing Manager (all genders)
Avelios Medical,
vor 4 Minuten
About Us Our mission at Avelios is to unlock clinical data to power seamless healthcare operations for better patient care. To do so, we have built a modular software platform that digitizes and optimizes workflows in hospitals with cutting-edge technology...
Warehouse Picker/Associate (m/f/d)
Flink,
€36,000
-
€47,500
/ Jahr
vor 1 Stunde
Introduction: Our delivery hubs are strategically located in densely populated urban areas, facilitating swift deliveries with our fleet of electric bikes. Flink, the leading online supermarket, is experiencing rapid growth and is now operational in all major cities across Germany....
Head of Flight Test
STARK,
vor 1 Stunde
About Us STARK is a new kind of defence technology company. We design, develop, and manufacture high-performance unmanned systems that are software-defined, mass-scalable, and cost-effective, changing how autonomous systems are deployed across multiple domains. This gives our operators a decisive...