Account Executive, New York

About this role

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 https://www.nature.com/articles/s41586-024-08328-6 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 https://www.oxcan.org/news/prior-labs-and-oxford-cancer-analytics-partner-to-advance-liquid-biopsy-and-clinical-decision-making-in-lung-disease to preventing train failures with Hitachi https://siliconangle.com/2025/12/01/prior-labs-debuts-tabular-ai-foundation-model-scales-10-million-rows/ to improving clinical-trial decisions with BostonGene https://priorlabs.ai/case-studies/boston-gene.

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 https://priorlabs.ai/about 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 https://www.linkedin.com/in/frank-hutter-9190b24b/, Noah Hollmann https://www.linkedin.com/in/noah-hollmann-668b9010b/, and Sauraj Gambhir https://www.linkedin.com/in/sauraj-g/, 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 clos

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