Senior Frontend Engineer

Responsibilities

• Own product surfaces end to end. You'll be the go-to owner for key parts of vidIQ, we serve over 1M daily active creators. You'll set their direction, track how they perform, and decide what to improve next.
• Work across the stack. You'll build and change backend APIs, services, and data flows when a feature needs it, instead of waiting on another team.
• Drive your own roadmap. You'll spot opportunities in user feedback, data, and the codebase, turn them into proposals, align with product and design, and deliver without needing to be managed closely.
• Modernize the frontend. You'll lead the refactor of key features from JavaScript to TypeScript to improve performance and maintainability, using AI-assisted tooling where it speeds up the work without lowering the bar for quality.
• Build AI-powered product experiences. You'll ship LLM-driven features across the stack, from model integration and prompts on the backend to streaming responses, error handling, and clear UX when model output is unpredictable.
• Fix architecture and performance problems. You'll find bottlenecks and weaknesses anywhere in the request path, frontend or backend, and leave the system better than you found it.
• Make AI part of how the team works. You'll use tools like Claude Code, Cursor, and GitHub Copilot every day, share what works, and help set team practices for using AI responsibly.
• Improve durability. You'll test important workflows, add useful monitoring and error reporting, and own what you ship after it's live, whether you wrote every line or reviewed and refined AI-generated code.
• Raise the bar through review and mentorship. You'll review code from other engineers, AI-assisted or not, and give feedback that helps others grow.

Languages

Required

• You're confident with TypeScript, React, Next.js, Vite, and Tailwind.

Nice to have

• Backend experience with , Scala, and/or Python, plus relational databases, caching, and queues
• Experience with Redux, Redux Saga, and/or Zustand
• Experience building LLM-powered features, such as streaming UIs, model APIs, prompt design, or evals

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