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Staff Backend Engineer (Search)

ClickUp

full-remoteleadpermanentbackendother Full remote 47 days ago via WTTJ

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Tags

OpenSearchElasticsearchTypeScriptSearch RelevanceInformation RetrievalSemantic SearchVector EmbeddingsNLPMachine LearningDistributed Systems

About the role

Role overview

Join ClickUp as a Staff Backend Engineer (Search). You will optimize and scale ClickUp’s search infrastructure, enabling faster, more accurate search experiences that support the company’s AI efforts.

Responsibilities

  • Design and implement robust, scalable search solutions for a growing user base.
  • Improve search relevance, accuracy, and speed through query, indexing, and tuning.
  • Collaborate with AI, backend, and product teams to integrate search into new features and resolve complex search issues at scale.
  • Mentor junior engineers and contribute to engineering best practices and high standards for quality and performance.

Requirements

  • 7+ years of experience as a search engineer or in a directly related role.
  • Strong expertise in OpenSearch/ElasticSearch and search systems.
  • Proven ability to optimize query parsing, indexing, and relevance tuning.
  • Experience with high-volume, distributed data processing.
  • Ability to measure and optimize search quality.
  • Strong analytical and problem-solving skills.
  • TypeScript experience in backend systems.
  • Hands-on experience with vector embeddings and semantic search.
  • Experience applying ML/NLP to enhance search relevance.
  • Track record of architecting search solutions that maintain performance under heavy load.
  • Knowledge of information retrieval concepts and search evaluation metrics.

Nice-to-haves

  • Not explicitly stated, but strong alignment with search evaluation and semantic/ML-driven retrieval is emphasized.

About ClickUp

ClickUp is a productivity platform that helps teams plan, track, and collaborate on work in one place. The company focuses on building scalable software experiences and increasingly applies AI to improve how users find and use information.

Scraped 6/11/2026