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Technical Product Manager, Integrations

Prior Labs·Salary not specified

Primary stack

Product Management

Nice to have's

Machine Learning

Job description

About the Position

Technical Product Manager, Integrations


Location

Berlin, Germany


Employment Type

Full-time


Department

Engineering & Science


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'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

  • Take every model release live across SAP, the cloud marketplaces, and customer environments, on a plan you build with product and engineering.
  • Be the technical counterpart for the partner teams that host TabPFN, from SAP's platform teams to the hyperscaler marketplaces.
  • Shape how TabPFN shows up inside SAP's stack and what the integration engineering team builds first.
  • Bring the open channel decisions to the founders with a recommendation, and stay hands-on: listings, docs, smoke tests, a PR when it is faster than asking.

Requirements

  • Two or more years as product manager for a platform or integration surface: a product that ships into partners' platforms, or that other companies build on.
  • You have shipped through gates you did not control, landed multi-team releases on dates, and made a large enterprise's process work for a small, fast team.
  • You started as an engineer and never fully stopped: you read code, logs, and scan reports without a translator.
  • You are in Berlin or ready to relocate; Freiburg or New York can work.

Nice to Have

  • You have shipped into an SAP, Salesforce, Microsoft, or Oracle ecosystem, or know the cloud marketplaces from the inside.
  • You have deployed machine learning models and know what GPUs cost.
  • You have worked at a startup, and you use AI tools to take real work off your plate.

We Offer

  • Opportunity to work with a highly selective and innovative team.
  • Be part of a pioneering effort in tabular foundation models.
  • Competitive compensation and benefits.

About the Company

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

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