Назад
8 месяцев назад

Engineering Manager (AI)

247 000 - 290 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Engineering Manager (AI): Lead a team to build and improve the search experience for millions of users, focusing on search ranking algorithms, query understanding, and AI-powered search connectors. Focus on managing search quality at scale, reliability, latency, and integrating advanced AI features.

Location: Hybrid in San Francisco, California and New York, New York

Salary: $247,000 - $290,000 per year

Company

Notion provides a unified workspace connecting docs, notes, projects, calendar, and email with AI integration, serving millions of users including large organizations.

What you will do

  • Build and manage a diverse team of 5-7 engineers focused on search ranking, query understanding, and search UX.
  • Recruit, coach, and develop engineers, ensuring regular feedback and career growth.
  • Collaborate cross-functionally to set team direction and improve search quality and relevance.
  • Plan and prioritize work balancing reliability and long-term improvements.
  • Maintain high-quality standards for search reliability, latency, and relevance metrics.
  • Drive project execution using data-driven decision making and foster experimentation practices.

Requirements

  • Location: Must work from office on Mondays and Thursdays (Anchor Days) in San Francisco or New York.
  • 2+ years managing engineering teams in search, ranking, or relevance.
  • Deep understanding of search quality, ranking algorithms, and experimentation methodologies.
  • Experience with AI-powered search including embedding models, hybrid search architectures, and LLM integration.
  • Strong team leadership skills fostering collaboration, empowerment, and direct communication.
  • High tolerance for ambiguity and change with passion for line management.

Nice to have

  • Experience with AI connectors, enterprise search, or multi-source search systems.
  • Experience building retrieval-augmented generation (RAG) features or LLM-powered search capabilities.
  • Experience managing experimentation and A/B testing frameworks for search.
  • Experience managing teams at startups during rapid growth.
  • Experience rolling out engineering and management practices like code reviews and performance reviews.

Culture & Benefits

  • Inclusive and diverse team environment.
  • Equal opportunity employer with commitment to accommodations for disabilities.
  • Competitive cash compensation, equity, and benefits based on location and experience.
  • In-person collaboration culture with designated office days.

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