Software Engineer, Marketplace
- San Francisco, CA, United States
$250,000 to $300,000 USD / year
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Job details
- Pay
- $250,000 to $300,000 USD / year
- Posting language
- English
- Posted
Original job description
ABOUT THE ROLE
Join a Series A AI data company as a Software Engineer building the infrastructure behind an expert marketplace. You will create the systems that help teams source, assess, onboard, and match domain experts to projects, improving operational scale and enabling future recommendation capabilities.
WHAT YOU'LL DO
- Build and own marketplace infrastructure for expert outreach, interviewing, assessments, and onboarding.
- Develop tools for managing experts and assigning them to projects based on fit and availability.
- Automate manual workflows and build internal tools that increase the growth team's operational throughput.
- Partner with growth teammates to identify funnel bottlenecks, measure performance, and deliver improvements.
- Develop machine learning driven recommendations to anticipate project staffing needs and streamline matching.
WHAT WE'RE LOOKING FOR
- Two to five years of full-stack software engineering experience, with a record of building and owning systems end to end.
- Proficiency with Node.js or Python and Kubernetes; experience with TypeScript, JavaScript, or related web technologies is relevant.
- Experience scaling core infrastructure at a high-growth startup, trading firm, or as an early engineering hire.
- Marketplace, growth infrastructure, or human-data AI experience is valuable.
- Familiarity with Kafka, Redis, or Elasticsearch is a plus.
- A degree from a strong university and authorization to work in the United States without relying on student visa status are required.
COMPENSATION & BENEFITS
Base salary: $250,000 to $300,000 annually. Visa sponsorship is available.
LOCATION
On-site in San Francisco, California. The role requires working from the office five days per week, Monday through Friday, with flexible working hours.
More about this job
Skills
- Onboarding
- Machine learning
- Node.js
- Python
- Kubernetes
- TypeScript
- JavaScript
- Apache Kafka
- Redis
- Elasticsearch