Job Board
LogoLogo

Get Jobs Tailored to Your Resume

Filtr uses AI to scan 1000+ jobs and finds postings that perfectly matches your resume

ClickUp Logo

Staff Backend Engineer, Search

ClickUp

$200,000 - $242,500
Aug 12, 2025
Remote, US
Apply Now

ClickUp is seeking a Staff Search Engineer to optimize and enhance its search functionality, a critical feature underpinning its AI efforts, to ensure users can instantly find what they need across their workspace, making ClickUp the most intuitive and responsive productivity platform.

Requirements

  • Strong expertise in search technologies, particularly OpenSearch / ElasticSearch
  • Experience measuring and optimizing search quality
  • Experience with high-volume, distributed data processing systems
  • Proven ability to optimize query parsing, indexing, and relevance tuning for search systems
  • Hands-on experience with vector embeddings and semantic search implementations
  • Experience with TypeScript in backend systems
  • Track record of architecting search solutions that maintain performance under heavy load

Responsibilities

  • Design and implement robust search solutions that scale with our rapidly growing user base
  • Improve search relevance, accuracy, and speed to deliver the most relevant results to users at blazing fast speeds
  • Improve out real-time indexing pipelines to ensure search results remain up-to-date
  • Create measurement frameworks to evaluate and improve search quality
  • Build and enhance vector search capabilities to power next-generation search experiences
  • Collaborate with AI, backend, and product teams to integrate search into new features
  • Troubleshoot complex search-related issues at scale

Other

  • 7+ years of experience as a search engineer or in a directly related role
  • Strong analytical and problem-solving skills
  • Excellent communication skills and ability to collaborate effectively across teams
  • Mentor junior engineers and contribute to engineering best practices
  • Experience applying machine learning and NLP to enhance search relevance