Назад
3 дня назад

Engineering Manager (Search & AI)

280 000 - 330 000$
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 (Search & AI): Leading the Search & Context Platform team to build infrastructure for lexical and semantic retrieval, indexing systems, and agent memory primitives with an accent on scalability, performance, and security. Focus on optimizing retrieval layers for LLM-based agents and managing the platform roadmap to accelerate product velocity.

Location: Hybrid (San Francisco, California)

Salary: $280,000 - $330,000 per year

Company

Notion is a collaborative AI workspace where teams and agents collaborate to manage knowledge, projects, and AI tools in one place.

What you will do

  • Lead a high-performing platform team focused on search infrastructure, indexing, and retrieval.
  • Develop a roadmap balancing foundational platform investments (latency, reliability) with fast iteration for AI agent capabilities.
  • Manage platform operations with a high reliability bar, including SLOs and observability.
  • Collaborate with Search & Context and AI product teams to define interfaces and commitments.
  • Hire, coach, and mentor technical ICs to foster a high-growth environment.
  • Contribute to broader engineering practices regarding platform design and AI infrastructure.

Requirements

  • 4+ years of experience leading engineering teams in a fast-paced environment.
  • Technically leaning management style with the ability to debate architecture and tradeoffs.
  • Deep expertise in search, retrieval, or large-scale indexing systems (e.g., BM25, embeddings, ANN).
  • Experience product managing a platform or infrastructure scope for internal customers.
  • Strong judgment on scalability, performance, security, and enterprise readiness.
  • Ability to navigate ambiguity in the evolving AI and LLM landscape.

Nice to have

  • Experience building agentic or tool-using systems for LLM products.
  • Familiarity with permissioned, multi-tenant enterprise data and ACL-aware indexing.
  • Knowledge of classic information retrieval metrics and applied ML.

Culture & Benefits

  • Highly competitive cash compensation and equity.
  • Comprehensive benefits package.
  • Culture of craft and building sustainable, long-lasting products.
  • Environment that encourages intellectual curiosity and tinkering with AI.
  • Equal opportunity employer committed to diversity and inclusion.

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