Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

About the Role

We are hiring our first Account Executive to drive commercial adoption of our foundation models for structured data. This is a founding role where you will shape our sales strategy, target customer segments, and define success for future AEs. You will own the full sales cycle for enterprise and mid-market accounts, collaborating with the commercial founder and a team of researchers and operators from top tech companies.

Responsibilities

Drive outbound outreach to high-potential accounts through email, LinkedIn, and community channels
Execute targeted campaigns and iterate based on performance
Qualify inbound leads and identify promising opportunities
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
Understand our product deeply and communicate its technical value credibly and compellingly
Shape tailored messages and outreach sequences for technical personas
Help define qualification criteria, outbound sequences, demo structure, and objection handling
Provide field intelligence to the team on objections, positioning, and customer interests

Requirements

3+ years in a full-cycle AE role at a data infrastructure, ML tooling, developer tools, or deep tech company
Proven track record closing enterprise and mid-market deals with technical buyers (data scientists, ML engineers, or engineering leadership)
Strong technical literacy, with the ability to hold credible conversations with ML teams
Demonstrated success in outbound execution and pipeline generation from scratch
A builder mentality, eager to define and establish sales processes

Skills

Outbound sales
Pipeline generation
Sales cycle management
Technical sales
Product demonstration
Proposal development
Business case creation
Stakeholder management
Communication
Data science
Machine learning

Location

Berlin

Work Type

Onsite

Experience Level

Mid-level

About the Company

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. The next modality shift in AI is happening.
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.
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.
We’re a small, highly selective team of 20+ engineers, researchers and GTM specialists, 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.
In 2025, we raised €9m pre-seed led by Balderton Capital, backed by leaders from Hugging Face, DeepMind, and Black Forest Labs. The next phase of growth is here which makes this an optimal time to join.
This is the first AE role at a company with real research credibility, a Nature publication, and production customers with the world's largest enterprises.
This role offers a direct line to founders, allowing you to shape commercial strategy.
You will be part of genuine category creation, bringing frontier AI to industry.
There is a clear path into sales leadership as the team scales.
We're a small, ambitious team solving one of the hardest problems in AI, and we're just getting started.
You'll work closely with world-class researchers and builders who care deeply about the quality of their craft, the impact of their work, and the people they work with.
We move fast, we think rigorously, and we take the time to do things right.

Equal Opportunity

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, disability, or any other trait that makes you who you are.