About the role
We are rebuilding biotech for the AI era. When a breakthrough is delayed, the world waits. Getting a molecule from discovery to patients, or a crop from lab to field, involves thousands of slow, manual, disconnected steps. AI has the potential to change this, compressing decades of R&D work into years. But that only happens when clean, structured scientific data and AI are built into how science gets done. Benchling is the AI platform for biotech R&D. Scientists use Benchling to design experiments, capture structured data, and run AI agents and models directly in their workflows. Over 200,000 scientists around the world trust Benchling to power their most important work, from academic labs to Sanofi, Moderna, and more than half of the world's top 50 biopharma. We’re building an AI scientist for our customers. We can’t do that if we haven’t built the muscle ourselves. AI fluency is the foundation we build on; it's core to
how we work, and we're committed to helping every new hire integrate it into their day-to-day. As part of our interview process, you'll complete a brief AI-focused exercise or discussion so we can understand how you think about and use AI to drive impact in your role. Feel free to reference any tools, platforms, or workflows you use today. ROLE OVERVIEW The Process Development team builds the workflow platform that enables biotech and pharmaceutical companies to design, execute, and track complex scientific manufacturing processes at scale. Our workflow engine is the foundational layer — a system that lets scientists and operators model their processes as structured workflows and then execute them reliably, whether one person is doing everything or an entire team is coordinating across steps. As a Software Engineer on this team, you'll work full-stack across the workflow engine, recipes, and assays — the core systems that Benchling customers depend on to run their operations. You'll build features that show up directly in how scientists manage manufacturing workflows, contribute to a platform layer that other Benchling teams are beginning to adopt, and help shape how AI tooling gets integrated into the engineering culture of this team.
