Arena

AI Engineer

• Own 5–15 active model lab relationships as the day-to-day point of contact
• Partner with researchers and product teams to integrate models, run evaluations, and deliver results
• Drive delivery across onboarding, data and product releases, co-launches, and issue resolution
• Own a key process improvement or automation, such as model onboarding, customer data insights, or delivery tooling
• Translate customer feedback and research direction into product ideas and engineering work
• Build and ship pragmatic solutions across the stack for cutting-edge AI teams
• Help expand strategic accounts through trust, execution, and technical judgment

Applied AI Engineer

Infrastructure Engineer

• Build API-based products from the ground up. Design and implement low-latency, high-reliability APIs for leaderboards, models, and arenas.
• Solve hard streaming problems. Handle SSE/streaming responses across heterogeneous providers, including partial failure recovery, mid-stream fallback, and consistent response normalization.
• Ship enterprise-grade infrastructure. Build the systems enterprise customers expect: rate limiting, authentication, usage metering, cost attribution, audit logging, and SOC 2 compliance.
• Build deep observability. Instrument infrastructure with distributed tracing, latency breakdowns, token-level usage tracking, and real-time dashboards so customers (and we) can see exactly what's happening.
• Build AI-centered products. Integrate with our core evaluation platform, Arena data, and customer-specific benchmarks. Collaborate with the research team to turn novel ideas into full-featured products.
• Flex across the stack. Contribute to the backend of our Leaderboards and Evals platforms when needed, helping unify our public and private data architectures.

Infrastructure Engineer – TL

DevOps Engineer

• Build and orchestrate API-based products from the ground up. Design and implement low-latency, high-reliability APIs for leaderboards, models, and arenas.
• Ship enterprise-grade infrastructure. Build the systems enterprise customers expect: rate limiting, authentication, usage metering, cost attribution, audit logging, and SOC 2 compliance.
• Build deep observability. Instrument infrastructure with distributed tracing, latency breakdowns, token-level usage tracking, and real-time dashboards so customers (and we) can see exactly what's happening.
• Build AI-centered products. Integrate with our core evaluation platform, Arena data, and customer-specific benchmarks. Collaborate with the research team to turn novel ideas into full-featured products.

Site Reliability Engineer

Backend Engineer

• Build API-based products from the ground up. Design and ship the low-latency, high-reliability APIs and services that power Leaderboards, Evals, and Arena data products — clean, versioned, and built for the developers who consume them.
• Turn evaluations into product. Partner with the research team to take novel eval methods and make them durable, full-featured products: scoring pipelines, data models, and the APIs that expose them.
• Ship enterprise-grade backends. Usage metering, cost attribution, billing integration, authentication, RBAC, multi-tenancy, and audit logging — the systems enterprise customers expect.
• Own the data architecture. Unify our public and private evaluation data, design schemas that hold up as the product grows, and make Arena’s data queryable, consistent, and fast.
• Flex across the stack. Contribute to the backend of our Leaderboards and Evals platforms when needed, helping unify our public and private data architectures.