About the Role

Join the engineering team at a Series A AI data company to build the infrastructure behind expert acquisition, onboarding, and project matching. You will own end-to-end systems that help the growth team scale its operations and support the development of AI training data.

What You'll Do

Build and maintain marketplace infrastructure for expert outreach, interviewing, assessments, and onboarding.

Develop tools for managing experts and matching them to projects based on fit and availability.

Create automations and internal tools that replace manual workflows and improve operational throughput.

Partner with growth teammates to identify funnel bottlenecks, measure performance, and ship improvements.

Build machine learning-driven recommendation systems to anticipate project staffing needs and automate matching.

What We're Looking For

Two to five years of full-stack software engineering experience, with a track record of building products or infrastructure end to end.

Proficiency with Node.js or Python and Kubernetes; experience with Kafka, Redis, or Elasticsearch is useful.

Experience with marketplace or growth infrastructure, ideally at a fast-growing technology company.

Strong ownership and the ability to work closely with operational and growth teams.

A degree from a well-regarded university in the US, Canada, or Europe, and authorization to work in the US without relying on student visa status.

Compensation & Benefits

Base salary: $250,000 to $300,000 annually. Visa sponsorship is available.

Location

On-site in San Francisco, California, five days per week, with flexible working hours.