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 are hiring an Account Executive to drive commercial adoption of our foundation models for structured data. This role sits at the intersection of technical depth and commercial execution. You'll own the full sales cycle: from identifying high-potential accounts through signed contracts, running discovery conversations with technical buyers and helping shape how we bring breakthrough AI to market.
This role combines a strong outbound focus with the potential for end-to-end deal ownership. ou'll spend most of your time on outreach and discovery with technical buyers (data scientists, ML engineers, technical leaders), while also navigating buying committees, developing proposals, and closing deals. You'll help create the materials and messaging that make our outbound motion successful while driving revenue outcomes. This is not a quota-carrying role, we're looking for someone who loves the craft of outbound and wants to build the engine, not just close deals.
Outbound and 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
Sales Cycle Ownership
Run discovery calls and product demos with data science and ML teams
Develop proposals and business cases tailored to customer needs
Navigate buying committees across technical and business stakeholders
Own opportunities from qualification through signed contract
Technical Engagement
Understand our product deeply and speak credibly with data scientists and ML engineers
Communicate technical value in a clear and compelling way
Shape tailored messages and outreach sequences for technical personas
Content and GTM Support
Help create outbound collateral, technical explainers, and short demo scripts
Contribute insights from conversations to refine ICP, messaging, and playbooks
Assist with community-driven growth efforts (events, online channels, research sharing)
What you bring
Technical background (CS, data science, engineering) or strong technical literacy
1–3 years in sales development, technical GTM, or outbound roles at deep tech/AI companies
Strong written and verbal communication skills, especially with technical audiences
Experience with CRM and pipeline management
Track record of structured outbound execution and iteration
Comfort working in a fast-moving startup environment
Bonus: experience with data science/ML teams, familiarity with ML/AI concepts, or background in SaaS/developer tools
Why this role is exciting
You will help define our sales and outbound motion from day one
You will learn how to sell frontier AI products to technical buyers
You'll work closely with founders and a world-class research and engineering team
As one of the first GTM hires, clear growth path into senior sales & GTM expansion roles or Solutions Engineering as we scale
Location
Offices in San Francisco, NYC, Berlin, and Freiburg, with flexibility to work across our locations
Benefits
Competitive compensation package with meaningful equity
30 days of paid vacation + public holidays
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.
