This is a hybrid sales and customer success role for someone with real scientific depth. You'll be the primary point of contact for customers — from first conversation through ongoing engagement. That means understanding what a protein design team is actually trying to achieve, helping them pick the right assays, making sure their experiments are set up correctly, and translating results back into language that's useful for their programs. The day-to-day: Running technical sales calls where you discuss binding kinetics, expression systems, and assay design, not just pricing Onboarding new customers and helping them design their first experiments on the platform Monitoring ongoing accounts, flagging issues early, and proactively suggesting next steps based on their results Working with the biology team to troubleshoot when a customer's experiment doesn't go as expected Identifying expansion opportunities within existing accounts — new targets, new assay types, larger campaigns You won't be handed a script. You'll need to understand the science well enough to earn trust from PhD-level protein engineers and CSOs, while also being commercially sharp enough to close deals and grow accounts.
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.
