Назад
2 дня назад

Sr. Manager, Field Engineering - Financial Services (Banking and Payments)

192 100 - 264 175$
Формат работы
remote (только USA)
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
Sr. Manager, Field Engineering - Financial Services (Banking and Payments) (Data and AI): Leading and scaling a technical pre-sales team serving financial services customers through Databricks’ Data Intelligence Platform with an accent on data engineering, analytics, data warehousing, machine learning, and generative AI. Focus on hiring and mentoring Solutions Architects, guiding complex architectures and technical validations, and driving customer success through cross-functional partnerships.

Location: Remote candidates in the United States, with preference for the Northeast or Midwest near a Databricks office hub; candidates in Illinois, Massachusetts, New York, and Washington, D.C. are encouraged

Salary: $192,100–$264,175 USD annually, plus potential performance bonus, equity, and benefits

Company

Databricks provides a unified Data and AI Platform for building and scaling data, analytics, and AI applications.

What you will do

  • Lead, hire, train, coach, and grow a team of Solutions Architects serving the Financial Services segment.
  • Partner with Sales and other Field Engineering teams to increase revenue and deliver customer value.
  • Guide technical qualification, architecture discussions, technical validations, and product demonstrations.
  • Maintain a strong hiring pipeline and develop high-performing technical pre-sales talent.
  • Keep the team current on the Databricks technology stack and ensure continuous technical learning.
  • Build relationships with internal teams, systems integrators, and independent software vendors to accelerate customer success.

Requirements

  • Proven experience building and leading technical pre-sales teams, including hiring, onboarding, coaching, and mentoring.
  • 10+ years of experience in data-related technical products, such as data warehousing, big data, machine learning, or generative AI.
  • Experience advising technical executives on strategic data infrastructure decisions.
  • Strong understanding of complex architectures, technical validations, product demonstrations, and scalable solutions.
  • Experience working cross-functionally with Sales, Product Management, Engineering, and Customer Success.
  • Technical credibility with engineering talent and leadership, plus experience with consumption-driven business models.

Culture & Benefits

  • Inclusive environment focused on diversity, collaboration, and equal opportunity.
  • Comprehensive benefits and perks tailored to the employee’s region.
  • Potential annual performance bonus and equity participation.
  • Remote work availability with access to Databricks office hubs.

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