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Prior Labs has pioneered tabular foundation models—specifically TabPFN v2, which was featured on the cover of Nature and has achieved 3.5M+ downloads and 7,500+ GitHub stars. The model is already in production at organizations like Oxford Cancer Analytics (detecting lung disease) and Hitachi (preventing train failures). The company is a 40+ person team of researchers and engineers 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, Prior Labs joined SAP as an independent frontier AI lab, backed by over €1 billion in funding over four years.
As Technical Product Manager for Integrations, you will own the go-to-market execution for TabPFN across enterprise platforms and cloud marketplaces. Most enterprises will access TabPFN not through direct API calls but embedded within platforms they already use: SAP, AWS, Azure, Google Cloud, Databricks, or their own cloud infrastructure. Your role bridges the gap between the model engineering team and partner platform teams, ensuring each release ships on schedule across all channels.
Key responsibilities include: taking every model release live across SAP, cloud marketplaces, and customer environments on a plan you develop with product and engineering; serving as the technical counterpart for partner teams hosting TabPFN, from SAP's platform teams to hyperscaler marketplaces; shaping how TabPFN integrates into SAP's stack and guiding the integration engineering team's priorities; and bringing open channel decisions to the founders with recommendations while staying hands-on with listings, documentation, smoke tests, and code contributions.
You will work directly with the product team, engineers, and founders, reporting to the CTO. This role suits someone who enjoys both shipping products on deadline and making strategic decisions about what to build next, while remaining close to the technical implementation.
REQUIREMENTS:
- Minimum two years as a product manager for a platform or integration surface (a product that ships into partners' platforms or that other companies build on)
- Demonstrated experience shipping through external gates, landing multi-team releases on dates, and making large enterprise processes work for small, fast teams
- Engineering background with ongoing technical fluency: ability to read code, logs, and scan reports independently
- Based in Berlin or willing to relocate (Freiburg or New York also acceptable)
PREFERRED QUALIFICATIONS:
- Experience shipping into SAP, Salesforce, Microsoft, or Oracle ecosystems, or knowledge of cloud marketplaces from the inside
- Experience deploying machine learning models and understanding GPU economics
- Startup background with active use of AI tools to improve personal productivity
