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About the Role
We're hiring a recruiter to own hiring for the commercial and operational core of Prior Labs in the US. You'll run end-to-end hiring for our go-to-market team (sales and partnerships) and for the operations functions that keep a fast-scaling AI company running effectively. This is a full-stack, hands-on role in a market where every strong seller and every good controller already has three other offers.
Responsibilities
- Source commercial and operational talent across the US, from enterprise AE and partnerships profiles to finance and compliance operators
- Position Prior Labs compellingly against better-known AI companies, late-stage SaaS, and fintech where the comp is often bigger and the brand more familiar
- Navigate multi-hub hiring across New York, Berlin, and Freiburg (comp bands, notice periods, US/EU employment differences, occasional relocation and visa work)
- Assess commercial and operational depth quickly to curate high calibre shortlists
- Run efficient, structured interview loops with clear rubrics and fast debriefs
- Manage, negotiate and close offers, including variable comp and equity conversations
- Manage the pipeline operationally in the ATS with clean stages and weekly metrics
Requirements
- 5+ years in-house GTM and/or G&A recruiting at a high-growth startup (Series A and beyond), ideally in a technical or deep-tech product environment
- Track record closing enterprise sales, partnerships, or revenue-leadership hires against better-funded competitors
- Hands-on experience hiring finance or compliance profiles (accounting, FP&A, controller, legal/compliance ops) or a credible plan for how you'd get up to speed fast
- Hiring in the US market, ideally NYC; exposure to EU hiring is a strong plus
Skills
- Full-stack recruiting
- Talent sourcing
- Candidate assessment
- Offer negotiation
- ATS management
- Pipeline management
- Metrics reporting
Location
- New York
Work Type
- Onsite
- Remote (exceptional cases)
Experience Level
- 5+ years
Salary/Compensations
- $600 - $800 day rate
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.
Equal Opportunity
- 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