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Software Engineer, Extensibility Platform

Benchling · San Francisco, CA · Remote

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About Benchling

Backed by Y Combinator, a16z and ICONIQ.

About the role

As a software engineer on the Extensibility Platform team, you will design, build, and operate platform systems that are essential to our vision for an extensible, flexible, and customizable Benchling experience. Not only will your work enable Benchling to scale its product offerings and accelerate scientific discovery for our customers, but you will also have the opportunity to help shape technical strategy and establish best practices for Benchling product and platform teams. Found on 1752vc Careers, the job board for startup and VC roles.

What they're looking for

  • You have 2+ years of experience in a fulltime software engineering role. Ideally in SaaS with platform development experience
  • Strong problem-solving skills with a proven ability to iterate on feedback and deliver high-impact solutions
  • Proficiency in backend development, API design, data management. Experience in Web Application development is highly desirable
  • Experience leading & delivering projects from start to finish, independently or as a part of a larger team
  • Excellent interpersonal skills and experience working in a collaborative, cross-functional environment. Willing to work out of our SF office 3 days a week
  • Enthusiasm for diving into complex technical challenges and a keen interest in the life sciences domain, with a willingness to learn and adapt
More about this 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...

Read the full posting on Benchling's site ↗

Engineering

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