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1 час назад

Engineering Manager (AI)

190 000 - 261 250$
Формат работы
onsite
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

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TL;DR

Engineering Manager (AI): Leading a team of infrastructure engineers to build and scale Foundation Model Inference systems with an accent on high-performance LLM serving and enterprise-grade reliability. Focus on driving multi-quarter engineering initiatives, optimizing inference workloads, and fostering a high-performing, inclusive team culture.

Location: Mountain View, California

Salary: $190,000 – $261,250 USD

Company

Databricks is a leading data and AI company that provides a unified platform for data intelligence, analytics, and AI, trusted by over 50% of the Fortune 500.

What you will do

  • Lead and grow a team of product-minded infrastructure engineers focused on Foundation Model APIs.
  • Shape the product roadmap for real-time, provisioned throughput, and batch inference use cases.
  • Partner with product and engineering leadership to deliver reliable, high-quality infrastructure.
  • Build an inclusive, high-performing team through effective hiring and coaching.
  • Maintain operational excellence, including service health, incident response, and postmortems.

Requirements

  • Proven experience managing and growing high-performing software engineering teams.
  • Strong technical judgment in distributed systems, platform infrastructure, or large-scale backend services.
  • Track record of delivering complex, multi-quarter engineering initiatives with high quality.
  • Experience partnering with product management to translate business needs into technical roadmaps.
  • BS in Computer Science or a related field.
  • Must be eligible to work in the U.S. and meet export control compliance requirements.

Culture & Benefits

  • Comprehensive benefits package tailored to regional needs.
  • Commitment to diversity, inclusion, and equal employment opportunity.
  • Opportunity to work on cutting-edge generative AI infrastructure at scale.
  • Collaborative environment focused on solving complex data and AI challenges.

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