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About the Role

Foundation models have transformed text and images, but structured data - the largest and most consequential data modality in the world - has remained untouched. Tables power every clinical trial, every financial model, every scientific experiment, every business decision. No one has built a foundation model that truly understands 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.

Responsibilities

• Build and own the core company financial model, including revenue, costs, cash, and P&L, with annual budgets, rolling forecasts, and scenario and sensitivity analysis.
• Establish the operational and SaaS metrics layer, including ARR, usage, unit economics, gross margin, burn, runway, and retention.
• Manage spend, cash discipline, and financial controlling, including budget versus actuals, vendor and cost decisions, cash flow monitoring, and identifying deviations from the plan.
• Translate financial data into actionable insights for leadership, including regular reporting for the board, investors, and parent company, with clear explanations and recommendations.
• Serve as the finance point of contact between the startup and SAP's group planning cadence.
• Implement scalable finance foundations, including appropriate tooling, clean data feeds, automation of repetitive tasks, and strategic use of AI in finance.

Requirements

• Experience building and owning a core company financial model end-to-end for an AI lab or Deep Tech company.
• Experience building a finance or FP&A function from near-zero within a small, early-stage, ambiguous company.
• Comfortable building an auditable model from a short brief.
• Experience owning annual budgets, rolling forecasts, and budget-versus-actuals across a company, reporting directly to Founders.
• Fluency in driver-based FP&A and comfort building an auditable model from a messy brief.
• Sufficient understanding of the accounting close to oversee it, with good judgment on when speed is more critical than rigor.
• Good judgment regarding the use of AI and automation in finance.
• Experience coordinating an external accounting partner and running light financial controls and monitoring.

Skills

• Financial modeling
• FP&A
• Budgeting
• Forecasting
• SaaS metrics
• Unit economics
• AI in finance

Location

• Remote

Work Type

• Full-time

Experience Level

• Mid-level operator to seasoned senior manager

About the Company

• Foundation models have transformed text and images, but structured data - the largest and most consequential data modality in the world - has remained untouched. Tables power every clinical trial, every financial model, every scientific experiment, every business decision. No one has built a foundation model that truly understands 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 in Nature and set a new state-of-the-art for tabular machine learning. Since its release, we've scaled model capabilities more than 20x, reached 3M+ downloads, 6,000+ 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 in front of us. We're scaling tabular foundation models to handle millions of rows, thousands of features, real-time inference, and entirely new data modalities - while building the infrastructure to deploy 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 20+ engineers, researchers and GTM specialists, selected from over 5,000 applicants, with backgrounds spanning Google, Apple, Amazon, Microsoft, G-Research, Jane Street, Goldman Sachs, and CERN, led by Frank Hutter, Noah Hollmann and Sauraj Gambhir and advised by world-leading AI researchers such as Bernhard Schölkopf and Turing Award winner Yann LeCun. We ship fast, create 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 optimal time to join.
• 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. 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.

Equal Opportunity

• We believe the best products and teams come from a wide range of perspectives, experiences, and backgrounds. That's why we welcome applications from people of all identities and walks of life, especially anyone who's ever felt discouraged by "not checking every box."
• 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.
• We care about how your data is handled. Read our Recruiting Privacy Notice to see exactly what we collect, why, and how long we keep it.