WHO WE ARE

Foundation models transformed text and images. Structured data - the largest and most consequential data format in the world -

stayed untouched. Tables run every clinical trial, every financial model, every scientific experiment, every business decision,

and no one had built a foundation model that truly understood them.

Until now. What LLMs did for language, we're doing for tables. The next modality shift in AI is happening, and we're hiring the

team that makes it.

Momentum. We pioneered tabular foundation models and are now the world-leading organization in structured-data ML. Our TabPFN v2

model was published as a Nature cover story and set a new state of the art for tabular machine learning. Since release we've

scaled model capabilities 20x+, passed 3.5M+ downloads and 7,500+ 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 ahead. We're scaling tabular foundation models to millions of rows, thousands of features, real-time

inference, and entirely new data modalities, while building the infrastructure to run 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 30+ engineers, researchers, and GTM specialists, with backgrounds spanning

Google, Apple, Amazon, DeepMind, Meta, Microsoft Research, G-Research, Jane Street, Goldman Sachs, and CERN. We're led by Frank

Hutter, Noah Hollmann, and Sauraj Gambhir, and advised by world-leading AI researchers including Bernhard Schölkopf and Turing

Award winner Yann LeCun. We ship fast, do 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 phase of growth is here, which makes this an ideal time to join.

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 — you'll shape how we sell, who we sell to, and what good looks like for every AE who joins after you. You'll own

the full sales cycle across enterprise and mid-market accounts, working directly with the commercial founder and a team of

ex-DeepMind, Palantir, Jane Street, Goldman Sachs and Amazon researchers and operators.

This role combines a strong outbound focus with the potential for end-to-end deal ownership. You'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. 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

BUILDING THE MOTION

Help define qualification criteria, outbound sequences, demo structure, and objection handling - the playbook you help write is

what we hire against next

Bring field intelligence back to the team on objections, positioning, and what customers actually care about

WHAT YOU BRING

3+ years in a full-cycle AE role at a data infrastructure, ML tooling, developer tools, or deep tech company

Track record closing enterprise and mid-market deals with technical buyers — data scientists, ML engineers, or engineering

leadership

Strong technical literacy - comfortable holding a credible conversation with an ML team

Proven outbound execution and pipeline generation from scratch

Builder mentality - you want to figure out how to sell this, not inherit someone else's playbook

Bonus: hands-on experience with data science or ML workflows, or background selling to ML platform teams

WHY THIS ROLE IS EXCITING

First AE at a company with real research credibility, a Nature publication, and production customers with the world's largest

enterprises

Direct line to founders - you'll shape commercial strategy, not just execute it

Genuine category creation and bringing frontier AI to industry

Clear path into sales leadership as the team scales

LOCATION

This role is specifically located in our New York office

Life at Prior Labs

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. If you're excited by hard problems, motivated by

real-world impact, and want to be part of building something that matters, we'd love to hear from you.

We're building our teams in Berlin, Freiburg, and New York and we believe that when you're working on something as hard and

exciting as TabPFN, being in the same room matters. Most of our roles are based in one of our offices but great people come from

everywhere, and in exceptional cases we're open to remote. This usually involves frequent travel to one of our offices and the

whole company comes together regularly for offsites to think, build, and celebrate together.

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

We care about how your data is handled. Read our Recruiting Privacy Notice to see exactly what we collect, why, and how long we

keep it.

Roll

Account Executive, New York

Plats

New York

Publicerad

28 maj

Sista ansökningsdag

16 augusti

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