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Prior Labs

Develops tabular foundation models for data

Founder Associate

Full-Time
No salary listed
Junior
Bachelor's, Master's
New York, NY, USA
In PersonOn-site work in New York is required.
Business & StrategyBusiness Operations
Company Does Not Provide H1B Sponsorship

About the job

Requirements
  • A Bachelor's or Master's degree in Business Administration, Computer Science, Data Science, or a related field, or equivalent practical experience without the credential.
  • 1-2 years of experience in consulting, venture capital, start-ups, or similar roles.
  • An AI-first working approach, including evaluating new tools, identifying opportunities to save time, and applying judgment where automation is insufficient.
  • Ability to ship a first version quickly, iterate, and identify needed work without waiting for a detailed brief.
  • Strong analytical and problem-solving skills focused on execution.
  • Structured and reliable ownership of assigned work.
  • Exceptional written and verbal communication skills in English.
Responsibilities
  • Own the inbound pipeline end to end.
  • Improve lead scoring, routing, and automation while removing remaining manual steps.
  • Build pipeline reporting used by the founders and sales team.
  • Test new channels, including data sources, outbound approaches, and initial paid experiments.
  • Own tracking and attribution for pipeline sources.
  • Automate call preparation by creating concise briefings for sales calls.
  • Own decks, case studies, battle cards, and demonstration assets.
  • Keep proofs of concept on track through milestones, follow-ups, and next steps.
  • Turn closed deals into reference stories and case studies.
  • Identify and automate an annoying recurring workflow each month.
  • Build agents and automations across the human resources information system, customer relationship management system, Notion, and Slack.
  • Own the internal tooling landscape, including tool selection and system connections.
  • Prototype quickly by prioritizing a working script over a perfect later system.
  • Ship tools used daily across the company.
  • Help open new offices and establish operations in new countries.
  • Own onboarding from signed contract through an effective first week.
  • Redesign and implement inefficient people processes.
  • Make the human resources information system the single source of truth and automate routine tasks.
  • Run the operational side of hiring, including scheduling, candidate communication, and interview logistics.
Desired Qualifications
  • Experience working in or with early-stage startups.
  • Experience building automations, agents, or internal tools that people used.
  • A background in machine learning, data science, or related technical fields.
  • Familiarity with open-source software, foundation models, or data science ecosystems.
  • Proven ability to manage cross-functional projects or initiatives.
  • Interest or experience in sales enablement, content creation, or community building.

About the company

Prior Labs builds TabPFN-style tabular foundation models (TFMs) that operate on structured enterprise and scientific data. Their models can make predictions directly from tabular data without task-specific training (no per-dataset fine-tuning), enabling tasks like churn prediction, supplier risk assessment, and demand forecasting from single tables. The company differentiates itself by offering open-source TFMs with a focus on tabular data, active collaboration with industry and research, and a clear commitment to openness even after acquisition by SAP. Their goal is to provide practical, scalable AI for tables that can be deployed across business processes and scientific workflows, while continuing open-source development and long-term frontier research.

Company Size

51-200

Company Stage

Acquired

Total Funding

$9.9M

Headquarters

Freiburg, Germany

Founded

2024

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Simplify Jobs

Simplify's Take

What believers are saying

  • SAP pledged over €1 billion across four years, funding hiring and infrastructure.
  • Prior Labs now plugs into SAP AI Core, Business Data Cloud, and Joule.
  • TabPFN-3.5 adds native text features and Thinking mode, expanding enterprise use cases.

What critics are saying

  • SAP completed the acquisition on 17 July 2026; roadmap now serves SAP priorities.
  • TabPFN-3.5 is gated by noncommercial licensing, limiting grassroots adoption and benchmarking.
  • Open-source momentum depends on SAP; productization pressure can hollow out Prior Labs' research edge.

What makes Prior Labs unique

  • TabPFN-3.5 handles structured data natively, without per-dataset training.
  • Prior Labs' models have 4M downloads and 8K GitHub stars as of September 2026.
  • Frank Hutter's team dominates tabular foundation models; TabPFN-2.6 leads TabArena.

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Benefits

Company Equity

Paid Vacation

Health Insurance

Growth & Insights and Company News

Headcount

6 month growth

42%

1 year growth

42%

2 year growth

72%
SAP
Jul 17th, 2026
SAP Completes Acquisition of Prior Labs

SAP has completed the acquisition of Prior Labs, the pioneer of Tabular Foundation Models (TFMs). Read the news.

Qwen AI Fans
May 29th, 2026
AI advances: TabPFN-3 outshines traditional ML and Claude Opus 4.8 enhances autonomous work.

AI advances: TabPFN-3 outshines traditional ML and Claude Opus 4.8 enhances autonomous work. May 29, 2026 By QwenAI.fans 1 views Prior Labs' TabPFN-3 and Anthropic's Claude Opus 4.8 are making significant strides in the AI landscape, outperforming traditional machine learning models and enhancing autonomous work capabilities, respectively. TabPFN-3 beats tuned classical ML. Prior Labs introduces TabPFN-3, a new model that surpasses tuned classical machine learning algorithms with a 90% win rate. This breakthrough simplifies the process of handling structured data, eliminating the need for extensive tuning and configuration. Claude Opus 4.8 improves autonomous work. Anthropic releases Claude Opus 4.8, which includes a 2.5x faster mode and parallel subagents. The new version is more adept at recognizing its limitations, reducing unsupported claims and improving the reliability of autonomous tasks. It supports a 1M token context window and 128k max output tokens, available on the API, Claude Code, and major cloud platforms. NVIDIA invests $150B in Taiwan. NVIDIA announces a $150 billion investment in Taiwan to solidify the region as the epicenter of the AI revolution. The move aims to expand partnerships with TSMC and other local tech companies, leveraging advanced packaging technology not yet available in the U.S. This investment underscores NVIDIA's commitment to expanding the AI ecosystem and boosting its bottom line. Anthropic and OpenAI find product-market fit. Anthropic and OpenAI have found their product-market fit with coding and general-purpose agent products. Both companies are now aggressively pricing their APIs, with customers spending over $200 per month per user, significantly covering their costs compared to lower pricing tiers. Coding agents are driving this increased spending. MLXcel goes open source. MLXcel, an inference engine built for Apple Silicon, is now open source under the Apache 2.0 license. On M5 Max, MLXcel reaches up to 2.70x the prefill median of mlx-lm and matches it on decode. The supported-models list spans over 70 text architectures and 22 vision-language models (VLMs). This move aims to democratize AI inference by making it accessible on a broader range of devices. Study reveals secrets to better moe models. A study of 2,000 training runs provides insights into building better mixture-of-experts (MoE) models. The research helps in designing efficient architectures before committing computational resources, ensuring that most of the model remains inactive until needed, thus optimizing performance and cost. References.

TechCrunch
May 5th, 2026
SAP bets $1.16B on 18-month-old German AI lab and blocks OpenClaw agents

SAP has agreed to acquire German AI startup Prior Labs for an undisclosed sum, with plans to invest €1 billion ($1.16 billion) into the business over four years. Sources indicate the deal was "almost all cash", with over half a billion dollars paid upfront to founders Frank Hutter, Noah Hollmann and Sauraj Gambhir. Founded just 18 months ago, Prior Labs develops tabular foundation models for structured data in databases and tables, a better fit for enterprise applications than language models. Its open-source TabPFN model series has been downloaded over three million times. SAP will operate Prior Labs as an independent unit whilst blocking unauthorised AI agents from accessing its products. The company has approved only SAP-endorsed architectures, including its Joule Agents and Nvidia's NemoClaw. Prior Labs previously raised $9.3 million in pre-seed funding led by Balderton Capital.

Startbase
May 4th, 2026
Prior Labs is being acquired by SAP.

Prior Labs is being acquired by SAP. Billion-euro investment for tabular AI. Prior Labs begins next growth phase. News by Marc Nemitz · Freiburg, May 4, 2026 The Freiburg-based AI startup Prior Labs has signed an acquisition agreement with SAP. The goal is to jointly build a leading AI research lab for so-called tabular data models. The financial details of the transaction were not disclosed, and the closing is subject to regulatory approvals. Despite the acquisition, Prior Labs will remain as an independent entity, including its brand, research approach, open-source strategy, and existing customer relationships. Billion-euro investment for AI research and product integration. As part of the agreement, SAP plans to invest over one billion euros in Prior Labs over the next four years. Alongside long-term financial support, the startup also gains a direct path to integrating its technologies into SAP's product portfolio. This marks the beginning of a new growth phase for Prior Labs, where research and industrial application are to be more closely intertwined. Focus on tabular AI models. Unlike many AI developments that focus on language models, Prior Labs specifically targets structured data - such as tables, databases, and scientific datasets. These form the foundation of numerous business processes and research projects. With models like TabPFN, the company has already set standards. The technology has been widely received in scientific publications and is considered powerful for analyzing structured data. The further developments TabPFN-2.6 and the announced TabPFN-3 underscore the company's innovation drive. Scaling through access to enterprise data. Through the partnership with SAP, Prior Labs gains access to a broad customer base in data-intensive industries such as financial services, healthcare, and manufacturing. This enables further development of AI models under real-world conditions and faster time-to-market. SAP had invested early in tabular AI and recognizes the potential of this technology for enterprise applications. A central component of the agreement is Prior Labs' operational independence. The company retains its locations in Freiburg, Berlin, and New York, as well as its research orientation. The open-source activities, including GitHub repositories, scientific collaborations, and the developer community, will continue unchanged. Community and research. The founders Frank Hutter, Noah Hollmann, and Sauraj Gambhir emphasize that the close connection to the scientific community and developer base will continue to play a central role. With SAP's support, Prior Labs aims to accelerate its research and explore new application areas - especially in fields where structured data plays a crucial role.

SAP
May 4th, 2026
SAP to Acquire Prior Labs to Establish a Globally Leading Frontier AI Lab in Europe

SAP intends to purchase Prior Labs to accelerate success in TFMs and bring one of the world’s leading TFM research teams into the SAP family.