Sr Software Engineer - Frontend
Playlist
| Company | Playlist |
| Category | Engineering |
| Location | United States |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Senior |
| Salary | Not stated by the employer |
| Posted | 20 Jul 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (greenhouse) |
Description
About the Company:
At Playlist, life's richest moments happen when people step away from screens to move, connect, explore, and play. We're building the definitive platform for intentional living, connecting people with inspiring experiences in fitness, wellness, and beyond. With popular brands like Mindbody and ClassPass, Playlist empowers businesses and individuals, making it effortless for aspirations to become actions. Join us in reshaping technology's role to foster meaningful, real-world connections. The Role You'll Play
You’ll help build and evolve the frontend experiences that power Playlist, partnering closely with Product, Design, and QA to take ideas from concept to production in a way that’s reliable, performant, accessible, and grounded in real customer needs. You’ll also operate at the edge of what’s possible by leveraging AI (LLMs and agentic tooling) to accelerate delivery, improve quality, and push product capabilities forward.
Partner with Product and Design to deliver features from ideation through deployment, iterating based on feedback and outcomes
Build polished, accessible user interfaces with a strong focus on performance, responsiveness, and UX quality
Own frontend architecture decisions (component patterns, state management, data fetching, routing) to keep the codebase scalable and maintainable
Work deeply with modern design systems and UI tooling (e.g., Tailwind, component libraries, tokens) to ensure consistency and speed of delivery
Integrate with backend services and APIs (GraphQL/REST), collaborating on schemas, contracts, and end-to-end workflows
Promote engineering excellence by driving simplicity, strengthening operational health, and upholding quality through automated testing, code reviews, and monitoring/observability
Mentor teammates and raise the bar for engineering rigor and clarity, including best practices for responsible AI usage
What We're Looking For
8+ years building and operating modern web applications for large-scale products
Expert proficiency with JavaScript and TypeScript , including strong fundamentals in the language and ecosystem
Deep understanding of how the browser works (rendering pipeline, event loop, networking, caching, performance profiling)
Strong experience with modern React-based frameworks such as Next.js (SSR, routing, data fetching, performance tuning) and familiarity with Node.js
Experience building and consuming GraphQL APIs (schema-driven development, client caching, pagination patterns)
Expert-level debugging skills; comfortable using browser DevTools in and out (performance, memory, network, tracing)
Strong knowledge of modern frontend build, bundling, and packaging (Vite/Webpack, Babel/SWC, code-splitting, tree-shaking, npm/pnpm/yarn)
Solid engineering judgement and understanding of SDLC and Agile methodologies
AI-native builder mindset with strong judgment; understanding of AI tooling such as MCPs, evals, RAG are good to have
Strong communication and collaboration across functions
Tools and Systems
This role is primarily frontend-focused, with opportunities to collaborate across the broader product stack. You do not need to have used every tool here, but you should be comfortable learning new technologies and choosing the right approach for the problem.
Languages and Frameworks: JavaScript, TypeScript, ReactJS, Next.js, Tailwind, shadcn or similar
APIs & data: REST/GraphQL, client caching, state management
Runtime & tooling: Node.js, npm/pnpm/yarn, modern bundlers (Vite/Webpack), monorepos, CI/CD
Testing: unit/integration/e2e testing (e.g., Jest/Vitest, React Testing Library, Playwright/Cypress)
Observability: client-side monitoring, logging, and tools such as New Relic/DataDog/Sentry
AI tooling: Claude Code/ Cursor/ Codex-style coding assistants; MCPs; agent/orchestration frameworks; safety harnesses
Engineering Practices: automated testing, c
You found the opening. Now track it.Tracker, radar and AI drafts in one place.erioun.com →