Job Description

Backend Engineer, Marketplace

Location: San Francisco or New York City
Company Stage: Late-Stage / Series C AI Infrastructure Company
Office Type: On-site
Salary: $130K–$400K + Equity

We’re representing a rapidly scaling AI infrastructure company building the marketplace and operational systems powering the next generation of AI development. Their platform connects enterprises and frontier AI organizations with highly specialized global talent networks that support model training, evaluation, and human-in-the-loop AI systems.

The company operates at massive scale, facilitating millions of dollars in expert-driven AI work daily while building the infrastructure layer that enables AI organizations to manage talent, workflows, and operational intelligence. Backed by leading investors and experiencing hypergrowth, they are expanding their core engineering organization across marketplace infrastructure, AI systems, and platform reliability.

What You Will Do

• Build and scale backend systems that power marketplace matching, routing, allocation, and fulfillment workflows
• Design APIs and infrastructure for search, eligibility, scoring, onboarding, and candidate-job matching systems
• Develop reliable, high-throughput backend services supporting real-time and asynchronous marketplace decisioning
• Architect operational tooling and workflow infrastructure that improves reliability, observability, and scalability across core marketplace systems
• Collaborate closely with product, ML, and operations teams to translate marketplace requirements into durable technical systems
• Improve system performance, latency, throughput, and reliability across production-critical APIs and distributed services
• Design backend abstractions and infrastructure that allow rapid iteration without compromising system quality
• Contribute to distributed systems architecture, event-driven workflows, and operational excellence initiatives

Ideal Background

• Strong experience building and operating production-grade backend systems at scale
• Deep understanding of system design, distributed systems, performance optimization, and data modeling
• Experience working on high-throughput APIs, asynchronous workflows, or event-driven architectures
• Strong backend engineering fundamentals with proficiency in modern backend languages and infrastructure tooling
• Ability to balance product velocity with long-term reliability and maintainability
• Experience translating operational or marketplace requirements into scalable technical systems
• High ownership mindset with strong engineering judgment and pragmatic decision-making abilities

Preferred

• Experience building marketplace, matching, recommendation, scheduling, or search systems
• Familiarity with ML-powered products or production model inference systems
• Experience with Kafka, Redis, Elasticsearch, or similar distributed infrastructure technologies
• Exposure to event-driven systems, caching strategies, queues, and observability tooling
• Experience operating within fast-moving, high-growth engineering organizations

Compensation and Benefits

• Base salary: $130K–$400K
• Meaningful equity package included
• In-person engineering culture in San Francisco or NYC
• Opportunity to work on core infrastructure powering frontier AI and marketplace systems at massive scale
• High ownership environment with direct impact on company growth and operational performance
• Relocation support and strong employee benefits package
• Exposure to cutting-edge AI workflows, operational systems, and large-scale distributed infrastructure