Software Engineer, Marketplace
Summary
Full-stack engineer building the marketplace infrastructure of an AI training data platform: systems and internal tools for expert outreach, assessment, onboarding, and project matching, plus funnel automation and ML-based recommendations. Stack centers on Node.js/Python and Kubernetes, with Kafka/Redis/Elasticsearch as a plus.
About the Role
Build the infrastructure and tools that support expert acquisition, assessment, onboarding, and matching for an AI training data platform. You will work closely with growth teammates to improve how domain experts are connected with projects.
What You'll Do
Build and own systems for expert outreach, interviewing, assessment, and onboarding.
Develop tooling to manage experts and assign them to projects based on fit and availability.
Automate manual workflows and build internal tools that improve operational throughput.
Partner with growth teammates to identify bottlenecks, measure funnel performance, and ship improvements.
Explore machine learning 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 and a completed undergraduate degree.
Proficiency with Node.js or Python, Kubernetes, and experience building and owning systems end to end.
Experience scaling core infrastructure, ideally at a high-growth startup or in a marketplace or growth infrastructure role.
Familiarity with Kafka, Redis, or Elasticsearch is a plus.
Strong ownership, sound engineering fundamentals, and the ability to work effectively with operational teams.
Authorization to work in the United States without relying on student visa status is required.
Compensation & Benefits
Annual base salary is $250,000 to $300,000. Visa sponsorship is available.
Location
On-site in San Francisco, California, five days per week, Monday through Friday. Flexible working hours are expected.
Skills
As published by ashby · 2 questions
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