Product Engineer (Full Stack)
We’re looking for a Product Engineer (Full Stack) to join our team and help shape the evolution of our web platform, data tools, and user experiences. You’ll contribute across the stack—building features, improving performance, and solving complex problems at the intersection of content, analytics, and crypto data. You’ll also be encouraged to leverage modern AI tooling (Claude, Codex, Cursor, etc.) to accelerate development and reduce boilerplate.
What You'll Do
- Build and maintain core features across frontend (Vue, Nuxt, Tailwind) and backend (Node.js/Bun.js, Nitro, PHP, Laravel, Postgres, GraphQL, Redis).
- Leverage AI tools like Claude, Codex, and Cursor to streamline code generation, debugging, and documentation.
- Work closely with design, editorial, research, and engineering teams to define and implement product experiences.
- Integrate web analytics, performance tracking, and logging to monitor and optimize feature performance.
- Own and improve systems related to membership, payments, and content access controls.
- Help set frontend and backend architectural direction and promote technical best practices.
- Participate in sprint planning, code reviews, and pair programming sessions.
- Support and improve our CI/CD pipelines, QA tooling, and deployment workflows.
What You’ll Bring
- 6–8 years of full-stack engineering experience with strong frontend and backend contributions.
- Frontend: Vue, Nuxt, Vuex, TailwindCSS, PWAs, SASS/SCSS, BEM, responsive design.
- Backend: Node.js + structured frameworks (NestJS, Nuxt/Nitro, Laravel), Postgres, GraphQL, Redis/memcached.
- Solid Git/GitHub workflows and collaborative coding in a remote-first team.
- Fluent in Unix command line and familiar with Docker, Vagrant, or similar DevOps tooling.
- Strong understanding of web analytics and performance monitoring tools.
- Experience with modern payment and subscription systems.
- Familiarity with ESP APIs and email workflows.
Nice to Have
- Knowledge of crypto, DeFi, or blockchain infrastructure.
- Experience with BI tools (Google Data Studio, Tableau, Domo).
- Experience with AI-enhanced development workflows (Copilot, Codex, Claude).
- Interest in finance, markets, and crypto culture.
