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Sr Software Engineer - Frontend

Playlist
CompanyPlaylist
CategoryEngineering
LocationUnited States
RemoteOn-site (inferred)
EmploymentNot stated
LevelSenior
SalaryNot stated by the employer
Posted20 Jul 2026
Last verified30 Jul 2026
SourceEmployer career page (greenhouse)
Applications are handled by the employer, not by us.Apply on the employer's site →
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
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Sr Software Engineer - Frontend — Playlist · Job Opportunities API