Growth Engineer: AI for Scientists

Benchling, Inc.

San Francisco (CA)

On-site

USD 140,000 - 210,000

Full time

14 days+

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Job summary

Benchling, Inc. is building AI-powered tools for scientists in San Francisco.

As an engineer on our team, you’ll craft product experiences that accelerate adoption of scientific AI, blending strong technical chops with product sense to improve onboarding, in‑product discovery, and feedback loops. You’ll work closely with customers, run rapid experiments, and use data to drive decisions while collaborating across frontend and backend stacks to deliver high‑impact features in a fast-paced

Qualifications

  • 5+ years of experience building consumer-grade products.
  • Frontend and backend development in modern stacks.
  • Strong product and growth intuition.
  • Experience with instrumentation and analytics.
  • Willingness to learn biotechnology and AI.

Responsibilities

  • Build end-to-end product experiences that drive adoption of scientific AI, from onboarding flows to in-product discovery, education, and feedback loops.
  • Work directly with customers to understand use cases, gather feedback, and onboard scientific teams.
  • Experiment rapidly, designing and running A/B tests, instrumentation, and data analyses to identify the biggest levers for user activation and retention.
  • Continuously improve our growth platform, developing frameworks and tooling that make it easier to test, measure, and scale successful experiments.
  • Shape how we build AI at Benchling, evolving our engineering and product development practices to define what great AI adoption looks like in the scientific world.

Skills

Full-stack engineering
React
Python
Analytics
Growth mindset

Tools

A/B testing
Instrumentation

Job description

Benchling, Inc. is building AI-powered tools for scientists in San Francisco.

As an engineer on our team, you’ll craft product experiences that accelerate adoption of scientific AI, blending strong technical chops with product sense to improve onboarding, in‑product discovery, and feedback loops. You’ll work closely with customers, run rapid experiments, and use data to drive decisions while collaborating across frontend and backend stacks to deliver high‑impact features in a fast-paced

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