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An AI platform where biotech scientists run R&D and store data.

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About Benchling

The company, in brief.

What they do

Benchling is an AI platform for biotech R&D (research and development). Scientists use it to design experiments, capture structured data, and run AI agents and models in their work. Over 200,000 scientists use it, from academic labs to Sanofi, Moderna, and more than half of the top 50 biopharma companies.

What they value

  • Make a meaningful impact for customers and the scientists at the bench.
  • Build for the long term, and define a new category.
  • Be kind, and work with people from science, tech, and business.
  • Learn and grow with a growth mindset, and help each other grow.

Where they hire

Most Postings are in San Francisco or Boston. Others are in Zurich, London, Berlin, and other US cities. Most roles are hybrid, on site Monday, Tuesday, and Thursday. A few sales and consulting roles are remote, and some ask you to live near the city you apply to. No Posting mentions visa sponsorship.

Teams and roles

The headquarters is in San Francisco. Customer experience, sales, and engineering have the most open roles.

  • Customer experience: technical account managers, implementation and solutions delivery managers, product support, and customer success.
  • Sales and consulting: account executives, solution consultants, solution architects, partner roles, and EMEA leaders for consulting and professional services.
  • Engineering: full stack, applications, platform, and agents engineers, a data engineer, and a research engineer for model evaluation.
  • Product: product managers for the developer platform, schemas, infrastructure, growth, and scientific AI models.
  • Finance, marketing, and people: accountants, analysts, product marketing, and some short contract roles.

US Postings give a base pay range, and most offer equity. For example, the platform software engineer role pays $173K to $234K.

What they look for

Every Posting includes a short AI exercise or talk in the interview, about how you use AI in your work. Every Posting is about life science. Most engineering roles say you do not need to know biology but must want to learn. Most customer experience roles ask for a degree in biology or another life science. Software roles ask for 3 to 8 or more years of experience and Python or a similar language. Most Postings ask for clear communication across teams.

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