Назад
2 дня назад

Manager, Field Engineering (Manufacturing)

172 500 - 237 150$
Формат работы
remote (только USA)
Тип работы
fulltime
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

Текст:
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TL;DR

Manager, Field Engineering (Manufacturing): Leading a team of Solutions Architects to drive customer success and revenue growth for the Databricks Data Intelligence Platform with an accent on AI, data engineering, and analytics. Focus on building high-performing pre-sales teams, establishing strategic technical relationships, and guiding complex data architecture decisions for enterprise manufacturing clients.

Location: Must be based in the Central United States (e.g., Illinois, Texas, Missouri).

Salary: $172,500 – $237,150 USD

Company

Databricks is the data and AI company, providing a unified platform for data, analytics, and AI used by over 10,000 organizations worldwide.

What you will do

  • Hire, coach, and manage a high-performing team of Solutions Architects.
  • Partner with sales leadership to achieve consumption targets and ensure customer success.
  • Maintain a robust hiring pipeline and foster a positive, inclusive team culture.
  • Guide the team through technical qualifications, proof of concepts, and architecture reviews.
  • Ensure the team stays ahead of the technical curve in the data and AI technology stack.
  • Collaborate with Product Management, Engineering, and Customer Success to drive product value.

Requirements

  • Must be based in the Central United States.
  • 3+ years of experience building and leading technical pre-sales teams.
  • 7+ years of experience in the Data + AI space with technical products.
  • Deep technical understanding of data warehousing, big data, and machine learning.
  • Proven ability to act as a trusted advisor to technical executives.
  • Demonstrated architectural influence and ability to guide complex solutions.

Culture & Benefits

  • Comprehensive benefits package tailored to regional needs.
  • Commitment to diversity, equity, and inclusion in all hiring practices.
  • Opportunity to work with cutting-edge data and AI technologies at scale.
  • Collaborative environment focused on professional growth and team success.

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