Prior Labs

Prior Labs

Account Executive, New York

New York · Exec

Sponsorship not specified$24k-$42kDetected 55 days ago
GitMachine LearningData ScienceLLMsSalesAccount ManagementOutbound SalesResearchLeadership

About the role

  • 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.
  • This role combines a strong outbound focus with the potential for end-to-end deal ownership.
  • Execute targeted campaigns and iterate based on what works

Responsibilities

  • 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.
  • 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.
  • 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.

Requirements

  • Track record closing enterprise and mid-market deals with technical buyers - data scientists, ML engineers, or engineering leadership
  • Proven outbound execution and pipeline generation from scratch

Nice to have

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

Skills

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

Compensation

  • $24k-$42k

Benefits

  • 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.
  • 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.

Company info

  • 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.
  • 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.
  • 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.
  • We pioneered tabular foundation models and are now the world-leading organization in structured-data ML.
  • 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.
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