Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
JobTailor Logo

See all jobs on JobTailor

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
Twelve Labs

Senior Engineering Manager, Search – Cognition System

Twelve Labs

Senior Engineering Manager leading development of search systems for AI models at Twelve Labs. Owning search functionality end-to-end in a global context with innovative approaches.

Posted 6/26/2026full-timeSeoul • 🇰🇷 South KoreaSeniorWebsite

Tech Stack

Tools & technologies
Distributed SystemsElasticSearch

About the role

Key responsibilities & impact
  • Own the search system end-to-end (e.g., vector/ANN indexing, lexical retrieval, hybrid fusion, reranking, and temporal (segment-level) search), built on Marengo embeddings and Pegasus and scaled to millions of hours across both ingestion and index creation.
  • Design and build the agentic search harness that infers human *and* agent intent and orchestrates multi-turn, session-based (conversational), and parallel search sessions, including subagents that can be invoked by a primary agent.
  • Set and own the search-quality bar for both human- and agent-initiated search, and drive continuous improvement against them.
  • Own reliability and systems design for the search stack so the system stays dependable as both human and agent traffic grows.
  • Drive cross-functional alignment with Research/Training, Platform/Infra, and Product on retrieval strategy, API contracts, and system boundaries.
  • Build and lead the team: recruit strong engineers and scientists, set engineering patterns and standards across the search stack, and raise the bar through architecture review, code review, and technical mentorship.

Requirements

What you’ll need
  • 7+ years building production ML or search systems, with deep experience in search, retrieval, or recommendation at scale.
  • Engineering leadership where you've built and led teams of engineers (and scientists), and you can attract, hire, and grow senior ICs.
  • Deep experience with information retrieval systems (e.g. embedding-based search, lexical search (BM25 / OpenSearch / Elasticsearch), hybrid retrieval, reranking, and score normalization) at production scale.
  • Strong system-design instincts across ML infrastructure, distributed systems, and developer-facing platforms.
  • Good English communication skills, verbal and written.

Benefits

Comp & perks
  • 글로벌 B2B 고객과 함께 성장하는 Global Team
  • 자율성과 협업을 모두 갖춘 하이브리드 근무
  • 전 직원에게 맥북 및 70만 원 상당 재택근무 장비 지원, 3년 주기로 최신 장비 교체
  • 식사·교통비 등 자유롭게 사용할 수 있는 월 60만 원 한도 법인카드 제공
  • 사무실 내 스낵바(간식, 커피, 신선식품 제공)
  • 연말 2주간 겨울방학 운영
  • 연 1회 건강검진 지원

ATS Keywords

✓ Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
machine learninginformation retrievalembedding-based searchlexical searchBM25OpenSearchElasticsearchhybrid retrievalrerankingscore normalization
Soft Skills
engineering leadershipteam buildingtechnical mentorshipcross-functional alignmentcommunication skills