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About the Role
You will take each model release from handover to live across every channel, working with the engineers who build the model and the partner teams who host it. Inside SAP you will carry the product side of TabPFN across its platforms, from AI Core to SAP Analytics Cloud, and help build the integration engineering team. You will decide which announced channels to build next, what a marketplace listing should cost, and how support for all of this works. You will work directly with our product team, our engineers and the founders, and report to the CTO. This suits someone who enjoys landing things on a date as much as deciding what to build, and who still likes being close to the code.
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.
- Stay hands-on with listings, docs, smoke tests, and code contributions when faster than asking.
Requirements
- Two or more years as product manager for a platform or integration surface.
- Shipped through gates you did not control.
- Landed multi-team releases on dates.
- Made a large enterprise's process work for a small, fast team.
- Started as an engineer and never fully stopped.
- Read code, logs and scan reports without a translator.
- Are in Berlin or ready to relocate; Freiburg or New York can work.
Skills
- Shipped into an SAP, Salesforce, Microsoft or Oracle ecosystem.
- Know the cloud marketplaces from the inside.
- Deployed machine learning models.
- Know what GPUs cost.
- Worked at a startup.
- Use AI tools to take real work off your plate.
Location
- Berlin
- Freiburg
- New York
Work Type
- Onsite
- Remote (exceptional cases with frequent travel)
Experience Level
- Two or more years as product manager
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.
- 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.
- 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.
- Joined SAP as an independent frontier AI lab in July 2026, backed by more than €1 billion over four years.
Equal Opportunity
- 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.
- Care about how your data is handled - see our Recruiting Data Privacy page.