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People Culture Talent

Product Engineer, Frontend

San Francisco, CA (Remote)$125k–$288kfulltimemidAdded 1 month ago

About this role

We are seeking a Frontend Engineer to enhance the user experience of a platform dedicated to sophisticated software and AI teams. This role involves designing complex workflows, engaging with customers, and taking ownership of frontend development tasks in a collaborative, small team environment.

What you'll do

  • Design and enhance the dashboard for user management and troubleshooting.
  • Develop a UI library of React components for customer applications.
  • Rapidly prototype UI concepts using AI tools.
  • Engage directly with customers for feedback and user testing.
  • Manage full-stack feature development from design to implementation.
  • Optimize frontend performance for a data-intensive dashboard.

What they're looking for

  • 4+ years in digital product engineering
  • Proficient in React
  • Backend knowledge in Go (bonus)
  • Experience with AI tools
  • Strong communication skills
  • Intuitive understanding of developer tools
  • Ability to work directly with customers
  • Product design capabilities

Benefits

  • Meaningful ownership in projects
  • Small team with high retention
  • Opportunity to influence future collaboration with AI
  • Work with an experienced founding team from top tech companies
  • High technical standards
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People Culture Talent

People Culture Talent builds a platform for sophisticated software and AI teams, offering AI infrastructure and developer-focused tools. The company is hiring Developer Relations, Frontend Engineers, Product Engineers, Customer Engineers, and Sales Engineers to strengthen community engagement, enhance user experience, and support technical implementation and sales efforts.

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Likely interview questions

  • Walk us through a React component or feature you built that had to be highly composable and flexible. How did you approach the design to make it work across different contexts?
  • Describe your experience building dashboards or data-intensive UIs. How have you tackled performance challenges when dealing with large datasets?
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