Назад
3 дня назад

Senior Engineering Manager (AI/BI)

228 600 - 314 250$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Senior Engineering Manager (AI/BI): Leading multiple teams building and scaling dashboard creation, consumption, query, permissions, control-plane, and distribution services with an accent on AI/LLM-powered product experiences, full-stack performance, and service quality. Focus on designing agentic dashboard authoring, scaling distributed systems to the next order of magnitude of users, and balancing quality, performance, cost, and long-term architecture.

Location: Mountain View, California or San Francisco, California

Salary: $228,600–$314,250 USD annually

Company

Databricks is a data and AI company providing a unified platform for data engineering, analytics, applications, and AI agents to organizations worldwide.

What you will do

  • Lead multiple teams of full-stack and backend engineers, subject-matter experts, and engineering managers.
  • Grow the AI/BI Dashboard product across dashboard creation, consumption, query, permissions, control-plane, web, mobile, Desktop, and distribution surfaces.
  • Apply AI and LLM technology to agentic dashboard authoring and AI-powered insights.
  • Scale services and distributed systems to support the next order of magnitude of users while maintaining quality, performance, and operational reliability.
  • Recruit, develop, and retain engineering managers and individual contributors.
  • Set technical direction, manage technical debt, and balance long-term architecture decisions with the product roadmap.

Requirements

  • 6+ years of experience managing multiple teams building and operating products and systems in a SaaS environment.
  • 10+ years of experience with distributed systems and building products, platforms, and services used by multiple product teams and customers.
  • Experience scaling engineering teams from 15 to 35+ people and managing distributed teams across multiple locations.
  • Strong record of attracting, hiring, developing, and retaining engineering talent.
  • Experience creating efficient processes that improve velocity and quality in a fast-paced technology environment.
  • Bachelor’s degree or higher in Computer Science or a related field.

Culture & Benefits

  • Work with a data and AI platform used by more than 20,000 organizations worldwide.
  • Collaborate with Product Management, Customer Success, and engineering teams.
  • Benefits and perks are provided according to the applicable region.
  • Annual performance bonus and equity may be included in the total compensation package.
  • Inclusive employment practices and equal employment opportunity standards.

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