We are building the most automated lab in the world, and that does not stop at the bench. A company that AI agents can run experiments in has to automate everything around the experiment too — procurement, hiring, admin, and finance. Finance is one of the most automatable functions in any company and almost nobody has actually done it. We intend to. That is the job: build an AI-powered finance stack. Our ledger, billing, cards and payroll all expose APIs, and we already close the books against them programmatically rather than by hand. You would take that much further, to where the model, the close, the cash view and the margin analysis largely run themselves, and your week goes on the decisions instead of the reconciliation. You would be our first finance hire, and it is hands-on. You will build the forecast, run the close across two entities, own cash, and be the person who can say what a protein actually costs us to make.
Adaptyv is building an automated lab that lets AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We’re growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation.
