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ArenaArenaSan Francisco, CA

Staff Software Engineer, Product

Staff Software Engineer owns entire product areas end-to-end at an AI evaluation platform, designing full-stack systems, making high-stakes technical decisions, shipping features, and driving measurable impact. Requires 8+ years experience with deep technical expertise in web apps and product judgment.

Salary not listed
Hybrid8+ YOEFullstack Engineering

About the role

Responsibilities

  • Own product areas end-to-end — from identifying opportunities that aren't on anyone's roadmap, to building conviction, shipping, and driving to measurable outcomes
  • Design complete systems: data model, API design, frontend architecture (full-stack) or backend services and infrastructure (backend), and deployment strategy
  • Make high-stakes technical decisions under uncertainty — build-vs-buy, monolith-vs-service, when to prototype and when to harden — and be accountable for the outcomes
  • Work with ML researchers to turn research services into reliable, product-consumable systems
  • Ship and iterate — measure, course-correct, and drive to sustained impact
  • Raise the technical and product quality bar on the team — introduce practices others adopt, unblock teammates, and create clarity out of ambiguity
  • Navigate cross-functional collaboration with product, design, research, and leadership to align on what matters

Requirements

  • 8+ years of experience in software engineering, with a focus on product development
  • Deep experience building web applications spanning data model, API, frontend architecture, and deployment
  • Track record of repeated, attributable impact — multiple projects across different roles or companies where you can quantify outcomes (revenue, engagement, efficiency)
  • Personal technical depth: dealt with real performance issues: slow queries, N+1 problems, caching, transaction isolation
  • Product judgment and autonomous ownership — identified opportunities, validated them with evidence, built buy-in, shipped
  • Clear, persuasive communication — build buy-in across engineering, product, and leadership
  • Genuine conviction about AI evaluation and Arena's mission

Nice-to-Haves

  • Production experience with AI/LLM systems — inference pipelines, evaluation workflows, model integration, or AI-powered product features
  • Familiarity with our stack: NextJS, React, TypeScript, Tailwind, ShadCN, HonoJS, Postgres, Vitest
  • Experience with Supabase or Vercel's AI SDK
  • You've raised the bar on a team with measurable before/after — introduced practices, tools, or standards that others adopted

Tech Stack

  • NextJS
  • React + TypeScript
  • Tailwind + ShadCN
  • HonoJS
  • Postgres
  • Vitest

Skills

Next.jsReactTypeScriptTailwindShadcnHonojsPostgresVitestSupabaseVercel Ai SdkAPI DesignFrontend Architecture
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