# Software Engineer, AI Growth

**Company:** [Benchling](https://hotfix.jobs/companies/benchling)
**Location:** San Francisco, CA
**Role:** ML Engineering
**Salary:** $165k – $223k/yr
**Experience:** 5+ years
**Skills:** React, Python, A/B Testing, Analytics, Event Tracking, Instrumentation
**Posted:** 2025-11-13

> Builds end-to-end product experiences to drive AI adoption among scientists, focusing on onboarding, experimentation, and growth loops. Requires 5+ years full-stack experience with React/Python, strong product intuition, and analytics skills.

## Job Description

## 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.

## Qualifications
- **5+ years** of experience building delightful, consumer-grade products, ideally at a company where growth and experimentation were core to the strategy.
- Full-stack engineering skills, with experience in **modern frontend frameworks (React or equivalent)** and **backend languages (Python or similar)**.
- Strong product and growth intuition, with the ability to iterate quickly and refine solutions based on user feedback and data.
- Experience with **instrumentation and analytics**, including defining success metrics, implementing event tracking, and using data to drive decisions.
- Desire to work in a fast-paced environment, forming hypotheses, testing ideas quickly, and scaling the ones that work.
- Interest in learning about biotechnology and AI (no prior knowledge required, just a willingness to learn and adapt).

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