TL;DR
Tolemy is building Orbit, the control panel for the cell: a platform that helps scientists connect experimental data, biological knowledge, and AI models to understand and improve cellular systems.
We’re hiring a Product Engineer to build the scientist-facing experiences inside Orbit. You’ll work across frontend, product, AI-assisted workflows, data-heavy interfaces, and light backend work - helping turn powerful technical systems into software scientists can understand, trust, and enjoy using.
About Tolemy
Biology is becoming programmable, but scientists still lack the tools to understand, predict, and direct how cells behave.
At Tolemy, we’re building Orbit as a control layer for cell function: a platform that connects experimental data, biological knowledge, and AI models to build useful digital representations of cells. Our platform helps scientists move from observation to intervention.
We’re starting in therapeutic development, where better models and better experimental tools can help teams improve cell performance, manufacturing, and the development of life-saving therapies.
The goal is not just to predict what cells will do, but to help scientists understand why they behave the way they do, what to test next, and how to improve them.
If you want to build models and software that change how scientists understand cells, design experiments, and develop life-saving therapies, we’d love to meet you.
Company highlights
- Recently funded and building fast. We’ve raised our pre-seed round from top European investors and are using it to build a small, exceptional technical team in Barcelona.
- A rare product challenge. This is product engineering for messy scientific data, AI-native workflows, expert users, and interfaces where clarity, correctness, and trust really matter.
- Real commercial pull. Orbit is being built around real customer problems, active collaborations, and experimental datasets in advanced therapies and biomanufacturing.
- Early enough to shape the foundations. You’ll help define our product experience, design standards, engineering culture, and technical foundations from the beginning.
- A deeply interdisciplinary team. You’ll work directly with a team across cell biology, systems biology, software, product, and machine learning.
Life at Tolemy
We’re building an in-person team in Barcelona, working together in English. We support relocation and visa sponsorship where needed.
Our values are simple: stay curious, be kind always, and move with purpose. We care about technical depth, but also about how people work together, learn, communicate, and support each other.
We offer competitive salary, meaningful early-employee equity, flexible time off, flexible work-from-home arrangements, a learning and conference budget, high-quality equipment, and practical support to help you make Barcelona home if it’s not already.
Product Challenges
Making complex science feel usable. Scientists need to work with experiments, metadata, plots, models, and messy files without feeling lost. How do we design product experiences that make complex scientific work feel clear, calm, and useful?
Building trust into AI-assisted workflows. Orbit uses AI to help scientists structure, analyse, and interpret data. How do we design interfaces where users can inspect outputs, correct mistakes, understand uncertainty, and trust what the system is doing?
Turning messy inputs into structured outputs. Scientific data rarely arrives clean. How do we build workflows that help users move from strange spreadsheets, incomplete metadata, and fragmented results into structured, reusable, model-ready data?
What We’re Looking For
We’re looking for a product-minded engineer with strong frontend ability, good full-stack range, and the user always front of mind.
You should think in user problems, not components. When you build a feature, you’re thinking about the scientist on the other end: what they’re trying to do, what might confuse them, what needs to be visible, and what would make the workflow feel right.
You should be comfortable owning features end-to-end. You do not need to be a backend specialist, but you can wire up an API endpoint, adjust a data model, or trace a bug across the stack when needed.
You should enjoy messy real-world data, expert users, and ambiguous problems. Requirements will not always arrive as clean specs, so you should enjoy asking good questions, making thoughtful trade-offs, and turning uncertainty into useful software.
You do not need to know biology already. We can teach you. But you should be curious about scientific data, willing to learn from scientists, and motivated by building tools for a domain where correctness, context, and trust really matter.
Nice to Have
- Experience building data-heavy interfaces, workflow tools, internal tools, or products for expert users.
- Experience with AI products, review workflows, human-in-the-loop systems, or complex data transformation products.
- Experience with scientific software, biotech, healthcare, lab workflows, ML products, developer tools, or operational systems.
- Experience in an early-stage startup, high-growth company, or fast-moving product environment.
- Experience using AI coding tools deeply and thoughtfully.
Job Type: Full-time
Pay: 50,000.00€ - 75,000.00€ per year
Work Location: In person
