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Arena Intelligence

Backend Engineer

Bay Area (Remote)fulltimemidAdded today

About this role

Arena Intelligence seeks a Backend Engineer to build product-facing APIs and data systems that power their AI evaluation platform for enterprises. You'll design scalable services, implement enterprise features like billing and multi-tenancy, and partner with research and infrastructure teams to turn evaluations into durable products.

What you'll do

  • Design and ship low-latency, high-reliability APIs and services for Leaderboards, Evals, and data products
  • Build enterprise-grade backends including usage metering, billing integration, authentication, RBAC, and audit logging
  • Own data architecture, unifying public and private evaluation data with scalable schemas
  • Partner with research team to turn novel evaluation methods into full-featured products with scoring pipelines
  • Integrate third-party services like payments, auth, and analytics into cohesive, reliable systems
  • Contribute across the backend stack to support multiple product surfaces at varying maturity stages

What they're looking for

  • Backend engineering (5+ years, product-facing APIs and services)
  • Go programming language (preferred)
  • PostgreSQL design, querying, and scaling
  • Data systems fundamentals (Redis, queues, data warehouses)
  • API design with strong developer experience focus
  • Multi-tenant, enterprise SaaS architecture
  • Service composition and integration patterns
  • Authentication, authorization, and audit systems

Benefits

  • Competitive compensation and equity
  • Work with researchers and academics from UC Berkeley, Google, Stanford, and DeepMind
  • Early-stage startup environment with autonomy and impact
  • Bay Area location with collaborative office culture
  • Opportunity to shape foundational AI evaluation infrastructure
  • Direct influence on products used by millions monthly
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Arena Intelligence

Arena Intelligence builds a platform for evaluating AI model performance through real-world testing and human preference data, powering insights for AI labs and enterprises. The company is hiring data engineers, security engineers, machine learning scientists, and customer-facing technical roles to scale its evaluation infrastructure, protect against misuse, and deliver custom solutions to customers.

View all jobs at Arena Intelligence

Likely interview questions

  • Tell us about a time you designed an API that had to serve multiple types of consumers—how did you approach it?
  • Describe your experience building billing or usage metering systems. What were the tricky parts?