Who we are
Foundation models have transformed text and images, but structured data - the largest and most consequential data modality in the world - has remained untouched. Tables power every clinical trial, every financial model, every scientific experiment, every business decision. No one has built a foundation model that truly understands them.
Until now. What LLMs did for language, we're doing for tables.
Momentum: We pioneered tabular foundation models and are now the world-leading organization in structured data ML. Our TabPFN v2 model was published in Nature and set a new state-of-the-art for tabular machine learning. Since its release, we've scaled model capabilities more than 20x, reached 3M+ downloads, 6,000+ GitHub stars, and are seeing accelerating adoption across research and industry - from detecting lung disease with Oxford Cancer Analytics to preventing train failures with Hitachi to improving clinical trial decisions with BostonGene.
The hardest work is in front of us. We're scaling tabular foundation models to handle millions of rows, thousands of features, real-time inference, and entirely new data modalities - while building the infrastructure to deploy them in production across some of the most demanding industries on earth. These are open problems no one else is working on at this level.
Our team: We’re a small, highly selective team of 20+ engineers and researchers, selected from over 5,000 applicants, with backgrounds spanning Google, Apple, Amazon, Microsoft, G-Research, Jane Street, Goldman Sachs, and CERN, led by Frank Hutter, Noah Hollmann and Sauraj Gambhir and advised by world-leading AI researchers such as Bernhard Schölkopf and Turing Award winner Yann LeCun. We ship fast, create top-tier research, and hold each other to an extremely high bar.
What’s Next: In 2025, we raised €9m pre-seed led by Balderton Capital, backed by leaders from Hugging Face, DeepMind, and Black Forest Labs. The next modality shift in AI is happening - and we're hiring the team that makes it.
About the Role
We're hiring a Business Development Representative to help drive commercial adoption of our foundation models for structured data. As one of our first GTM hires, you'll be at the forefront of building our sales pipeline and connecting with technical buyers who are reimagining what's possible with AI for structured data.
This role combines outbound prospecting with inbound lead qualification. You'll spend your time identifying high-potential accounts, running initial discovery conversations with data scientists and ML engineers, and qualifying opportunities for our sales team. This is a foundational role where you'll help create the playbooks, messaging, and processes that will define how we bring breakthrough AI to market.
What you'll do
Pipeline Generation
Drive outbound outreach to high-potential accounts through email, LinkedIn, and community channels
Execute targeted campaigns and iterate based on what works
Qualify inbound leads and identify opportunities worth pursuing
Discovery & Qualification
Run discovery calls with data science and ML teams to understand their needs and use cases
Articulate the technical value of our foundation models in clear, compelling terms
Identify pain points and match them to our product capabilities
Own opportunities from qualification through signed contract
Schedule qualified meetings for the sales team
Technical Engagement
Understand our product deeply and speak credibly with data scientists and ML engineers
Learn to navigate conversations with data scientists, ML engineers, and technical leaders
Contribute to refining our messaging and positioning based on what resonates
GTM Building
Help create outbound collateral, technical explainers, and short demo scripts
Contribute insights from conversations to refine ICP, messaging, and playbooks
Collaborate with founders and GTM team to iterate on what's working
Support community-driven growth efforts (events, online channels, research sharing)
What you bring
Comfortable selling technical products and ability to quickly learn and understand technical concepts to speak credibly with data scientists and ML engineers
1-2 years in sales development, BDR/SDR roles, or customer-facing roles at tech companies
Track record of high achievement - whether in academics, sports, previous roles, or personal projects - that demonstrates drive and ability to excel
Excellent written and verbal communication skills, especially with technical audiences
Self-starter mentality with the ability to work independently and take initiative
Bonus: familiarity with data science/ML concepts, exposure to developer tools, or experience in open source communities
Why this role is exciting
You'll be one of the first GTM hires, helping define how we sell frontier AI products
Work directly with founders and a world-class research and engineering team
As we scale, natural progression into Account Executive or other senior GTM roles
Your work will directly influence revenue and shape our go-to-market strategy
Location
Benefits
Competitive compensation package with meaningful equity
Comprehensive benefits including healthcare, transportation, and fitness
Work with state-of-the-art ML teams, substantial compute resources and with a world-class team
Our Commitments
We believe the best products and teams come from a wide range of perspectives, experiences, and backgrounds. That’s why we welcome applications from people of all identities and walks of life, especially anyone who’s ever felt discouraged by "not checking every box."
We’re committed to creating a safe, inclusive environment and providing equal opportunities regardless of gender, sexual orientation, origin, disabilities, or any other traits that make you who you are.
