Chief of Staff or Founders Associate
Grubel
Chief of Staff or Founders Associate
Grubel
Matter-specific AI for confidential legal work
Grubel is a research lab that builds AI for high-stakes knowledge work, starting with law. Legal matters require specialized expertise, and each one involves its own facts, practices, parties, and institutions. General-purpose AI applies the same system to every legal matter, varying only what goes into a limited context window.
To meet the depth and diversity of legal work, we let every matter build its own AI: engineer the right data for the matter, adapt the model and agent to it, and track what improves. We combine the three into a matter-specific improvement loop that runs until the system delivers what the matter demands.
Grubel was founded in 2026 by Moritz Hardt, director at the Max Planck Institute for Intelligent Systems and formerly a UC Berkeley professor and Google Brain researcher; and Reinhard Heckel, professor of machine learning at the Technical University of Munich, on leave to build Grubel. The founding team includes engineers with PhDs in computer science and experience in foundation-model pretraining at Mistral and legal AI research at Thomson Reuters. The lab has offices in Munich and Tübingen.
Point Nine led an oversubscribed pre-seed funding round with backing from leading AI researchers and founders, including Jeff Dean, Chris Ré, Ion Stoica, and Harvey co-founders Gabe Pereyra and Winston Weinberg.
We are looking for a Founders Associate or Chief of Staff to help build and run the operations of a young company and to automate them as we go. We will hire one person for this role. The title and scope depend on your experience: as a Founders Associate you will work alongside the founders on the operations; as Chief of Staff you will own key operational areas.
We want to build Grubel the way we build our products: with AI agents doing significant work. Your job is to help make the company run and to ask which parts of it should be run by software instead.
You will work directly with the founders on everything it takes to build the company: hiring, finance, legal and corporate housekeeping across our German and US entities, funding programs, investor communication, and the tools and processes that hold it all together. This is a broad, hands-on role for someone who wants to learn how a company is built from the inside, or who has done it before and wants to do it again with better tools.
Running our hiring process, from job postings and candidate communication to contracts and onboarding
Keeping our German and US entities in order: accounting, payroll, and corporate paperwork
Managing public funding programs and preparing investor updates
Setting up the tools our team runs on, and building AI agents that take over routine operations
Supporting the founders on projects that do not fit anywhere else, from offsites to partnership contracts
You have a degree in business, economics, law, engineering, or a related field, or equivalent experience
You have worked in a startup, consulting firm, or another fast-moving environment. You may be early in your career with exceptional evidence of ownership, or more experienced and ready to help build a company’s operations from scratch
You are organized, reliable, and happy to own tasks nobody has done before
You already use AI tools heavily in your own work and want to push that much further
You communicate well in English and German
Location: Munich. This role is primarily on-site, with flexibility for individual days at home.
Full time employment
Competitive salary plus participation in our employee stock option program in Grubel, Inc., our US parent company.
Grubel is an AI research lab in Munich and Tübingen focused on automating matter-specific AI for complex legal work. Its approach blends a data engine, test-time matter adaptation, and continual evaluation so clients can run confidential, case-specific models on their own infrastructure. The product works by using the data engine to ingest and organize matter-related information, applying test-time adaptation to tune models for each case, and continuously evaluating performance, all deployed on the client’s own systems to maintain confidentiality. Compared with competitors, Grubel offers on-premise, matter-specific AI tailored to individual legal cases with ongoing evaluation, emphasizing privacy and control rather than generic cloud models. Its goal is to enable law teams and organizations to deploy confidential, case-tailored AI tools that streamline complex legal work while keeping data in-house and under client control.
Explore more opportunities at Grubel