Product Engineer

Responsibilities

• Work across four to five products with different technology stacks and improve shared platform capabilities.
• Own features end-to-end across UI, APIs, server logic, infrastructure, deployment, testing, documentation, delivery, and operation.
• Build and improve AI-agent infrastructure, including LLM streaming, tool orchestration, sandboxed execution, and security boundaries around untrusted code.
• Implement wallet-based identity, signing, embedded and external wallets, and server-side authorization.
• Manage dependencies, reviews, blockers, delivery, product decisions, and technical risks independently.
• Raise engineering quality through meaningful tests, code reviews, and accurate living documentation.
• Operate shipped systems with structured logs, traces, metrics, dashboards, alerts, optimization, and ongoing internal and external support.

Requirements

• Strong end-to-end TypeScript and React experience across client, server, API design, and serverless or edge runtimes.
• Experience building LLM-powered products involving streaming, tool use, prompt pipelines, agent orchestration, or sandboxed execution.
• Comfort with web3 application development, wallet authentication, signing, embedded and external wallets, and EVM fundamentals.
• Hands-on experience with infrastructure as code, CI/CD, containers, production observability, and behavior-driven testing.
• Remix, Next.js, Vite, and Cloudflare Workers experience is valuable.

Benefits

• Opportunity to contribute to making AI a public good
• Self-directed environment with opportunities to shape the role and career
• Market-competitive compensation including, for most roles, exposure to pre-launch tokens
• Reimbursements toward meditation, education, communication, speech coaching, and fitness or gym memberships/classes