Business Intelligence jobs in Germany

Who We Are: Prior Labs is building breakthrough foundation models that understand spreadsheets and databases - the backbone of science and business. Foundation models have transformed text and images, but structured data has remained largely untouched. We're tackling this $100B+ opportunity to revolutionize how we approach scientific discovery, medical research, financial modeling, and business intelligence.

Our Momentum: We're the world-leading organization working on structured data, and we're accelerating fast. Our TabPFN v2 model, recently published in Nature, sets the new state-of-the-art for structured data. We've hit 2.2M+ downloads, 5,000+ GitHub stars, and growth is accelerating. We're now building the next generation of models that combine AI advancements with specialized architectures for structured data.

What's Next: With €9M in pre‑seed funding from top-tier investors and backing from leaders at Hugging Face, DeepMind, and Silo AI, we're scaling fast and building our team. This is the moment to join: help us shape the future of structured data AI. Read our manifesto.

We are hiring an Operations Engineer to build internal tooling, automate workflows, and support data operations that help our teams move faster and scale intelligently. This role sits across product, engineering, and business functions. You will streamline how we operate and ensure the company runs efficiently through smart systems and automation.

This role blends technical depth with operational breadth. You'll spend time building internal tools, supporting data operations, and creating cross‑functional systems and dashboards. Perfect if you enjoy variety and want to be the 'force multiplier' that makes everyone more productive.

• Build and maintain internal tools and automations that improve efficiency across all teams
• Create scripts, dashboards, and workflows that reduce manual work and increase clarity around KPI tracking
• Maintain and optimize our internal knowledge, documentation, and operating systems
• Partner with engineering to streamline product analytics and create automation around key workflows

• Support ingestion and cleaning of datasets used to train our models
• Build and maintain data pipelines and quality checks for internal datasets

• Work with GTM, finance, and operations to automate cross-team workflows and reporting
• Implement dashboards and tooling for leadership visibility and decision making

• Background in computer science, data engineering, or a technical field, or strong hands‑on technical literacy
• 2+ years of experience in technical operations, internal tools, automation, data infrastructure, or similar roles in deep tech or AI environments
• Experience with scripting, workflow automation, and working with data pipelines or internal tooling
• Excellent written and verbal communication skills, especially when working across technical and non-technical teams
• Curiosity, ownership, and a proactive mindset in solving operational and technical challenges
• Comfort working in a fast-moving startup environment with evolving systems and priorities

• You will build foundational systems and automations that make every team faster and more effective
• You will learn how frontier AI products are built and scaled behind the scenes
• You will collaborate closely with founders on high-impact initiatives
• As one of the first operations hires, clear growth path into data operations, technical program management, revenue operations, or engineering productivity roles as we scale

• Offices in Freiburg, Germany - a university city at the edge of the Black Forest, Switzerland and France, and Berlin—a global tech hub and one of Europe’s most dynamic cities

• Competitive compensation package with meaningful equity
• 30 days of paid vacation + public holidays
• Comprehensive benefits including healthcare, transportation, and fitness
• Work with state-of-the-art ML teams and with a world-class team

• 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, disabilities, or any other traits that make you who you are.