Software Engineer, Marketplace
San Francisco • FullTime
Posted 18d ago
Remote Work Policy
On-site
Employment Type
FullTime
Categories
Applied AI Engineer
About the job
As a Software Engineer on the Marketplace team, you will own the core systems that bring human intelligence to AI opportunities. You'll work on search, matching, allocation, and workflow infrastructure at the heart of the marketplace, where systems deliver the world's top experts to staff cutting-edge projects. The problems are technically demanding and tightly coupled to business outcomes: latency, reliability, throughput, and system quality all directly affect marketplace performance. This role sits on a core decision layer of the product, and your work will directly shape how the marketplace operates, including which opportunities get filled, how quickly hiring happens, and how reliably the system scales as volume and complexity increase.
Responsibilities
- Build backend services that power candidate-job matching, routing, and marketplace workflows.
- Develop APIs and internal systems for search, eligibility, scoring, allocation, and fulfillment.
- Create data models and system abstractions for a rapidly evolving labor marketplace.
- Implement infrastructure for real-time and asynchronous decisioning at high volume.
- Build operational systems and tooling to ensure product-critical workflows are reliable, observable, and easy to evolve.
- Design systems that determine candidate eligibility for opportunities.
- Design matching and allocation infrastructure balancing speed, quality, and fill rate.
- Improve the performance and reliability of APIs serving marketplace decisions in real time.
- Develop workflow engines for onboarding, vetting, routing, and placement.
- Design backend abstractions enabling product and ML teams to iterate quickly without degrading system quality.
Requirements
- Proven track record of building and operating reliable backend systems in production.
- Strong judgment in system design, performance, reliability, and data modeling.
- Comfort working on high-throughput APIs, distributed systems, and asynchronous workflows.
- Ability to translate product and marketplace requirements into clean technical systems.
- High engineering standards and a bias toward simple, durable abstractions.
- Experience with search, recommendation, matching, scheduling, or marketplace systems (nice to have).
- Experience supporting ML-powered products or integrating model inference into production systems (nice to have).
- Familiarity with event-driven architecture, queues, caching, and observability tooling (nice to have).
Benefits
- Bi-annual performance bonus structure
- Generous equity grant vested over 4 years
- Up to $15k Relocation bonus
- $10K housing bonus (if you live within 0.5 miles of our office)
- $1.5K monthly stipend for meals
- Free Equinox membership
- $200 monthly laundry reimbursement
- $200 monthly personal wellness reimbursement
- Health, Dental, Vision insurance