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Founder Associate (Berlin)

Prior Labs·Salary not specified

Primary stack

AIProblem SolvingCommunication

Nice to have's

Machine Learning

Job description

Founder Associate (Berlin)

Location

Berlin, Germany

Employment Type

Full-time, On-site

About the Position

Join Prior Labs as a Founder Associate in Berlin, where you'll work directly with founders to drive growth and innovation in AI-first business functions.

About the Company

Foundation models transformed text and images. Structured data - the largest and most consequential data format in the world - stayed untouched, until now. What LLMs did for language, we're doing for tables.

We pioneered tabular foundation models: TabPFN v2 was a Nature cover story, has passed 3.5M+ downloads and 7,500+ GitHub stars, and runs in production from detecting lung disease with Oxford Cancer Analytics to preventing train failures with Hitachi. The hardest problems - millions of rows, real-time inference, entirely new modalities - are still open, and no one else is working on them at this level.

We're a small, highly selective team of 40+ with backgrounds from Google, DeepMind, Meta, Apple, Amazon, Jane Street, and CERN, led by Frank Hutter, Noah Hollmann, and Sauraj Gambhir, and advised by Bernhard Schölkopf and Turing Award winner Yann LeCun.

In July 2026, less than 18 months after our €9M pre-seed, we joined SAP as an independent frontier AI lab - same team, mission, and open-weights models, now backed by more than €1 billion over four years.

Responsibilities

As our Founder Associate, you sit in the founders' office and work directly with the founders and Chief of Staff to shape and execute the initiatives that drive Prior Labs' growth. You get real ownership of business functions, with broad exposure across the company, from strategy to execution.

Core Areas of Impact

  • Growth

    • Own the inbound pipeline end to end
    • Remove the manual steps that are left: better scoring, smarter routing, more automation
    • Build the pipeline reporting the founders and sales team actually use
    • Test new channels: data sources, outbound angles, our first paid experiments
    • Own tracking and attribution, so we know where pipeline actually comes from
  • Sales Enablement

    • Automate call prep: short briefings so no one walks into a call cold
    • Own decks, case studies, battle cards, and demo assets
    • Keep POCs on track: milestones, follow-ups, next steps
    • Turn closed deals into reference stories and case studies
  • Ops & Automation

    • Pick the most annoying recurring workflow each month and automate it
    • Build agents and automations across our stack: HRIS, CRM, Notion, Slack
    • Own the internal tooling landscape: what we use, how it connects
    • Prototype fast: a working script this week over a perfect system next quarter
    • Ship things the whole company uses daily
  • Expansion & People Ops

    • Help open our new offices and set up new countries
    • Own onboarding end to end, from signed contract to a solid first week
    • Take clunky people processes, redesign it, ship it
    • Make our HRIS the single source of truth, with automations doing the boring parts
    • Run the operational side of hiring: scheduling, candidate communication, interview logistics

Requirements

  • A Bachelor's or Master's degree in Business Administration, Computer Science, Data Science, or a related field, or you've done the work without the credential
  • 1-2 years of experience in consulting, venture capital, start-ups or similar roles
  • An AI-first way of working: you try new tools the moment they come out, you know where they save time, and you know where your own judgment still has to take over
  • High agency: you ship a v1 quickly, iterate, and don't wait for a brief to figure out what needs doing
  • Strong analytical and problem-solving skills with a focus on execution
  • Structured and reliable: when you own something, it's handled
  • Exceptional written and verbal communication skills, in English

Nice to Have

  • Experience working in or with early-stage startups
  • You've built automations, agents, or internal tools that people actually used
  • Background in machine learning, data science, or related technical fields
  • Familiarity with open source, foundation models, or data science ecosystems
  • Proven ability to manage cross-functional projects or initiatives
  • Interest or experience in sales enablement, content creation, or community building

We Offer

  • Competitive compensation package
  • 30 days of paid vacation + public holidays
  • Comprehensive benefits including healthcare, transportation, and fitness
  • Real ownership from day one, with a manager who has time for you
  • An AI-first way of working, with the tooling and budget to match
  • Work with state-of-the-art ML architecture, substantial resources and a world-class team

Life at Prior Labs

You'll work alongside researchers and builders who hold themselves to a very high bar - in the quality of their work and in how they work with each other. We move fast and still take the time to do things right.

Our teams are based in Berlin, Freiburg, and New York - when you're working on something as hard as TabPFN, being in the same room matters. But great people come from everywhere, and in exceptional cases we're open to remote, which usually means frequent travel to one of our offices. Wherever you're based, the whole company comes together regularly for offsites to build and celebrate together.

Our Commitments

The best products and teams are built by people with a wide range of perspectives and backgrounds. We welcome applications from all identities and walks of life - especially if you've ever felt discouraged by "not checking every box" - and provide 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 - see our Recruiting Data Privacy page

© Prior Labs. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.

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