Full-Time

Technical Product Manager

Posted on 10/31/2025

Prior Labs

Prior Labs

11-50 employees

AI for tabular data classification

Compensation Overview

€80k - €140k/yr

+ Equity

Freiburg im Breisgau, Germany + 1 more

More locations: Berlin, Germany

In Person

Category
Product (1)
Required Skills
Kubernetes
Microsoft Azure
Python
JavaScript
React.js
Git
Node.js
Product Management
SQL
Machine Learning
Java
Docker
TypeScript
AWS
REST APIs
C/C++
Linux/Unix
Data Analysis
Google Cloud Platform
Requirements
  • A Proven Track Record of Building: A minimum of 5 years of experience, with a clear history of taking technical products from concept to launch (0 to 1) and beyond.
  • Technical Credibility: A strong technical background and a deep understanding of the AI/ML space.
  • A Startup Mentality: You are relentlessly resourceful, comfortable with ambiguity, and thrive on ownership. You have a powerful bias for action and have experience establishing product processes in a fast-growing environment.
Responsibilities
  • Own the Product Strategy & Roadmap: In close collaboration with the founders, you will define the product vision, identify high-impact market opportunities, and own the roadmap from strategy to execution. You will be responsible for prioritizing what we build and why.
  • Lead Product Discovery & Delivery: You will become the voice of our users by conducting continuous research to deeply understand their needs. You will then translate those insights into clear requirements, working hand-in-glove with our research and engineering teams to ship, measure, and iterate on high-quality products at speed.
  • Enable User Success: You will champion a world-class user experience by ensuring our product is supported by excellent documentation, clear user guides, and compelling tutorials that drive adoption and delight our community.
Desired Qualifications
  • Business Development & Customer Success: A background in engaging directly with enterprise users and customers to drive adoption and ensure their success.
  • Community & Developer Relations: A passion for building a strong open-source community of users and advocates around the products you create.

Prior Labs builds TabPFN, a foundation model designed to understand and analyze tabular data from spreadsheets and databases, offering a pre-trained model for classification on small datasets via an API or PaaS. Users provide tabular data and the model classifies it without needing extensive hyperparameter tuning, delivering AI-driven insights quickly. The approach is tailored to tabular data with a focus on small datasets, enabling easy integration for data scientists and businesses. The goal is to make AI-powered analysis of tabular data accessible and efficient, helping users speed up data-driven decision making.

Company Size

11-50

Company Stage

Acquired

Total Funding

$1.1B

Headquarters

Freiburg, Germany

Founded

2024

Simplify Jobs

Simplify's Take

What believers are saying

  • SAP acquisition provides €1B investment over four years for scaling TabPFN.
  • Access to SAP's enterprise customers in finance, healthcare, manufacturing accelerates adoption.
  • Open-source TabPFN downloaded over 3 million times drives developer community growth.

What critics are saying

  • EU antitrust rejects SAP acquisition in 3-6 months, causing existential crisis.
  • Hugging Face open-source TFM overtakes TabPFN-2.6 on TabArena in 6-12 months.
  • SAP blocks non-Joule Agents, alienating data scientists in 12-18 months.

What makes Prior Labs unique

  • TabPFN uses transformer pre-trained on billions of synthetic datasets for tabular data.
  • TabPFN-2.6 tops TabArena benchmark, outperforming rivals in structured data tasks.
  • TabPFN delivers predictions in one forward pass without task-specific training.

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Benefits

Company Equity

Paid Vacation

Health Insurance

Company News

DS Media GmbH
Apr 7th, 2025
Prior Labs secures €9M for AI model

Prior Labs, a KI startup founded in 2024 by Frank Hutter, Noah Hollmann, and Sauraj Gambhir, has developed TabPFN, a model that enhances the analysis of tabular data. The company recently secured €9 million in funding from investors like Balderton Capital and TX Ventures. Prior Labs aims to enable companies to make precise predictions quickly without custom model training. They plan to expand their team and improve their model and API capabilities.

Pulse 2.0
Feb 20th, 2025
Prior Labs Raises €9M for AI Innovation

Prior Labs, an AI startup, raised €9 million in pre-seed funding led by Balderton Capital, with participation from XTX Ventures, Hector Foundation, Atlantic Labs, Galion.exe, and AI angel investors. The funding will accelerate product development and expand the team. Prior Labs' TabPFN model, designed for tabular data analysis, offers faster, more accurate predictions and is now being scaled for real-world impact, enhancing industries like finance and healthcare.

Trending Topics
Feb 6th, 2025
PriorLabs raises €9M for AI data analysis

PriorLabs, a Freiburg-based startup, has raised €9 million in a pre-seed round led by Balderton Capital, XTX Ventures, and others. Founded in late 2024 by experts including Frank Hutter, the company develops AI models for tabular data analysis. Their technology, based on TabPFN, aims to enhance data insights without requiring companies to train their own datasets. The funds will be used for product development, team expansion, and API integration into business data workflows.

EU-Startups
Feb 5th, 2025
Prior Labs raises €9 million for foundation models for spreadsheets and databases | EU-Startups

Freiburg-based Prior Labs, an AI startup innovating foundation models for spreadsheets and databases, has raised €9 million in pre-Seed funding, to

FinSMEs
Feb 5th, 2025
Prior Labs secures €9M pre-seed funding

Prior Labs, an AI startup from Freiburg, Germany, raised €9M in Pre-Seed funding. The round was led by Balderton Capital, with participation from XTX Ventures, Hector Foundation, Atlantic Labs, and Galion.exe, as well as AI angel investors like Peter Sarlin and Thomas Wolf. The funds will be used to expand operations and development efforts.

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