Prior Labs

Prior Labs

Head of Partnerships

New York

Sponsorship not specified$24k-$42kDetected 1 day ago
GitMachine LearningData ScienceLLMsMLOpsOutbound SalesSAPResearch

About the role

  • On SAP, the goal is to direct our limited engineering capacity toward the highest value-add projects.

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.
  • 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.
  • 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.
  • Consolidate our existing partner relationships and processes into a single, well-run portfolio with clear ownership.
  • If you're excited by hard problems, motivated by real-world impact, and want to be part of building something that matters, we'd love to hear from you.
  • We're building our teams in Berlin, Freiburg, and New York and we believe that when you're working on something as hard and exciting as TabPFN, being in the same room matters.
  • This usually involves frequent travel to one of our offices and the whole company comes together regularly for offsites to think, build, and celebrate together.

Requirements

  • 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 are comfortable creating structure in an early-stage company, where there is ambiguity and no inherited process.

Nice to have

  • 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.
  • Life at Prior Labs
  • We're a small, ambitious team solving one of the hardest problems in AI, and we're just getting started.
  • You'll work closely with world-class researchers and builders who care deeply about the quality of their craft, the impact of their work, and the people they work with.
  • We move fast, we think rigorously, and we take the time to do things right.

Compensation

  • $24k-$42k

Benefits

  • We're committed to creating a safe, inclusive environment and providing equal opportunities regardless of gender, sexual orientation, origin, disability, or any other trait that makes you who you are.

Company info

  • 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 https://www.nature.com/articles/s41586-024-08328-6 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 https://www.oxcan.org/news/prior-labs-and-oxford-cancer-analytics-partner-to-advance-liquid-biopsy-and-clinical-decision-making-in-lung-disease to preventing train failures with Hitachi https://siliconangle.com/2025/12/01/prior-labs-debuts-tabular-ai-foundation-model-scales-10-million-rows/ to improving clinical-trial decisions with BostonGene https://priorlabs.ai/case-studies/boston-gene.
  • 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.
  • 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.
  • 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.
  • 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 https://www.nature.com/articles/s41586-024-08328-6 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 https://www.oxcan.org/news/prior-labs-and-oxford-cancer-analytics-partner-to-advance-liquid-biopsy-and-clinical-decision-making-in-lung-disease to preventing train failures with Hitachi https://siliconangle.com/2025/12/01/prior-labs-debuts-tabular-ai-foundation-model-scales-10-million-rows/ to improving clinical-trial decisions with BostonGene https://priorlabs.ai/case-studies/boston-gene.
  • 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.
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