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Design and analyze experiments and causal studies, build retention measurement and predictive models, develop scalable PySpark/SQL data pipelines, create dashboards, and partner with product and growth teams to improve user engagement and retention.

Build and scale low-latency, reliable infrastructure for online AI evaluation: APIs, gateways, streaming handling, observability, enterprise features (rate limiting, auth, billing), and integrations with LLM providers and evaluation platforms.

Build and maintain low-latency, reliable backend APIs and data systems for Arena's evaluation products. Design schemas, scoring pipelines, usage metering, billing, auth/RBAC, multi-tenancy, and integrate research evals into durable, scalable product surfaces. Collaborate with infra, research, and product teams to ship enterprise-grade services and scale data pipelines.

Build and operate the core infrastructure for Arena's online evaluation systems: design low-latency, high-reliability APIs and gateways, implement enterprise-grade features (rate limiting, auth, metering, audit logging), instrument observability (tracing, latency, usage tracking), integrate with LLM providers and the evaluation platform, and collaborate with research and product teams to scale and harden systems for bursty, unpredictable traffic.