Head of Partnerships

Prior Labs • Berlin, NY

17h • Hybrid

About The Position

Foundation models transformed text and images. Structured data - the largest and most consequential data format in the world - stayed untouched. Tables run every clinical trial, every financial model, every scientific experiment, every business decision, and no one had built a foundation model that truly understood them. Until now. What LLMs did for language, we're doing for tables. The next modality shift in AI is happening, and we're hiring the team that makes it. Momentum. We pioneered tabular foundation models and are now the world-leading organization in structured-data ML. Our TabPFN v2 model was published as a Nature cover story and set a new state of the art for tabular machine learning. Since release we've scaled model capabilities 20x+, passed 3.5M+ downloads and 7,500+ GitHub stars, and are seeing accelerating adoption across research and industry - from detecting lung disease with Oxford Cancer Analytics to preventing train failures with Hitachi to improving clinical-trial decisions with BostonGene. The hardest work is ahead. We're scaling tabular foundation models to millions of rows, thousands of features, real-time inference, and entirely new data modalities, while building the infrastructure to run them in production across some of the most demanding industries on earth. These are open problems no one else is working on at this level. Our team. We're a small, highly selective team of 30+ engineers, researchers, and GTM specialists, with backgrounds spanning Google, Apple, DeepMind, Meta, Microsoft Research, G-Research, Jane Street, Goldman Sachs, and CERN. We're led by Frank Hutter, Noah Hollmann, and Sauraj Gambhir, and advised by world-leading AI researchers including Bernhard Schölkopf and Turing Award winner Yann LeCun. We ship fast, do top-tier research, and hold each other to an extremely high bar. What's next. In 2025 we raised €9m pre-seed led by Balderton Capital, backed by leaders from Hugging Face, DeepMind, and Black Forest Labs. The next phase of growth is here, which makes this an ideal time to join.

Requirements

• You have built a partnerships or alliances motion from scratch as an individual contributor, sourcing, structuring, and closing partner-driven deals before there was a team or a playbook.
• You have owned a strategic alliance with a large enterprise software vendor or global systems integrator and turned that single relationship into a repeatable, forecastable pipeline channel.
• You understand how a large vendor's partner organization works: co-sell incentives, joint business plans, marketplace mechanics, and what actually motivates a partner's sales force to carry your product.
• You can build a joint business plan, translate it into a time-bound pipeline plan, and report partner-sourced pipeline in a clear monthly cadence.
• You are comfortable creating structure in an early-stage company, where there is ambiguity and no inherited process.

Nice To Haves

• Cloud marketplace and co-sell experience that produced real revenue.
• Integration or reseller partnerships across ML, data, or developer-infrastructure tooling.
• Experience selling or partnering into the data science and ML engineering buyer.
• Having operated through a company's acquisition by, or deep integration with, a large strategic acquirer.

Responsibilities

• Bring every partnership under one owner. Consolidate our existing partner relationships and processes into a single, well-run portfolio with clear ownership.
• Own the SAP relationship. Manage SAP stakeholders' technical requests and prioritise Prior Labs' limited engineering capacity toward the highest value work, and work through SAP's structures to shape high-value initiatives into win-win commercial outcomes.
• Develop non-SAP partnerships into new revenue channels. Generate, qualify, and prioritise leads with outsized upside for everyone involved.
• Open the technology and reseller ecosystem. Sign and run integration, co-marketing, and reseller partnerships across the ML and data stack (MLOps platforms, feature stores, data platforms, systems integrators).
• Build the partner engine from scratch. Create the playbooks, co-sell and deal-registration processes, and enablement materials that let partners sell Prior Labs with minimal hand-holding.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: No Education Listed