Jobs at Arena (arena.ai)

Partners with AI labs to integrate models, run evaluations, deliver results, and manage customer relationships. Builds pragmatic full-stack solutions, automations, onboarding workflows, and delivery tooling for cutting-edge AI teams. Translates customer and research feedback into product and engineering initiatives, supports strategic account growth, and serves as a technical point of contact across onboarding, releases, and issue resolution.

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.

Design and develop scalable, high-performance data and API infrastructure for real-time processing. Mentor engineers and collaborate with teams to enhance AI model evaluations.

Responsible for designing experiments to evaluate AI models, developing evaluation methodologies, analyzing performance data, and collaborating on production insights.

The role involves designing and building data pipelines for analyzing user feedback on AI models, ensuring data quality and infrastructure scalability.

Own and develop Arena’s public web surfaces, including the blog, marketing pages, and leaderboard UI. Build with Next.js, React, TypeScript, Sanity CMS, and the company design system. Improve performance, accessibility, SEO, structured data, internationalization, and data visualization. Create CMS models and publishing tools that enable marketing teams to ship independently while collaborating closely with designers, marketers, and engineers.

The Product Solutions Engineer will integrate AI models with clients, deliver evaluations, improve processes, and collaborate on product development.

The Technical Recruiter will manage full-cycle recruiting, partner with hiring managers, and promote inclusive hiring practices while maintaining a strong candidate experience.

The Full-Stack Product Engineer will design and develop AI-focused products, manage the feature lifecycle, and advocate for process improvements.

Design and implement product-level authentication, authorization, multi-tenant isolation, and privacy-preserving data lifecycles. Ship security-sensitive changes end-to-end, own application and API security, threat modeling, telemetry for security events, and integrate conservative partner security controls.

Lead GTM strategy and revenue operations: run pipeline and forecast cadence, build shared reporting, partner with sales on deal structuring and deal desk, set pricing and packaging, own quote-to-cash and billing accuracy, and coordinate product/engineering for billable SKU launches.

Senior individual contributor responsible for full-cycle revenue generation with top AI model labs and select enterprises: managing relationships, structuring and closing seven-figure contracts, driving expansion across modalities, ensuring renewals and upsells, aligning delivery and product teams, and defining GTM strategy for new evaluation and data products.

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.

Provide embedded legal counsel to product and engineering on privacy, IP, and consumer protection; lead Arena's global privacy program (GDPR, CCPA/CPRA, cross-border transfers); advise on AI governance and responsible deployment; support commercial contracts and data flow frameworks; build privacy processes, playbooks, internal agents, and legal-tech integrations to scale operations.

The Senior Software Engineer will own feature development from design to deployment, focusing on user feedback and collaboration with ML researchers.

Lead design and scaling of People programs (onboarding, performance, compensation), advise leaders on org design and employee relations, build lightweight processes, manage compliance, and drive culture and headcount planning for a growing AI startup.