Technical Account Executive

Reposted 13 Days Ago
Be an Early Applicant
3 Locations
In-Office
Junior
Artificial Intelligence • Information Technology
The Role
Drive commercial adoption of foundation models, engage commercial accounts, support sales cycles, and communicate technical value to clients.
Summary Generated by Built In
Join Prior Labs!

Who We Are: Prior Labs is building breakthrough foundation models that understand spreadsheets and databases - the backbone of science and business. Foundation models have transformed text and images, but structured data has remained largely untouched. We're tackling this $100B+ opportunity to revolutionize how we approach scientific discovery, medical research, financial modeling, and business intelligence.

Our Momentum: We're the world-leading organization working on structured data, and we're accelerating fast. Our TabPFN v2 model, recently published in Nature, sets the new state-of-the-art for structured data. We've hit 2.2M+ downloads, 5,000+ GitHub stars, and growth is accelerating. We're now building the next generation of models that combine AI advancements with specialized architectures for structured data.

What's Next: With €9M in pre-seed funding from top-tier investors and backing from leaders at Hugging Face, DeepMind, and Silo AI, we're scaling fast and building our team. This is the moment to join: help us shape the future of structured data AI. Read our manifesto.

About the Role

We are hiring an Account Executive (Technical) 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.

Top Skills

AI
Computer Science
Data Science
Machine Learning
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The Company
HQ: Berlin
11 Employees
Year Founded: 2024

What We Do

Prior Labs is building breakthrough foundation models that understand spreadsheets and databases - the lifeblood of science and business. While foundation models have transformed text and images, tabular data has remained largely untouched. We're tackling this opportunity to revolutionize how we approach scientific discovery, medical research, financial modeling, and business intelligence.

Backed by Balderton Capital, XTX Ventures, SAP Founder Hans Werner-Hector's Hector Foundation, Atlantic Labs, Galion.exe and top AI leaders such as Peter Sarlin, Guy Podjarny, Thomas Wolf, Ed Grefenstette, Robin Rombach, Christopher Lynch and Ash Kulkarni.

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