Назад
11 дней назад

Sr. Manager, Field Engineering (Data & AI)

Формат работы
remote (только USA)/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
Sr. Manager, Field Engineering (Data & AI): Leading and growing a Solutions Architect team serving startup customers through technical pre-sales for Databricks’ Data Intelligence Platform with an accent on enterprise software, big data, analytics, data engineering, data science, data warehousing, and generative AI. Focus on hiring and mentoring technical teams, guiding complex architectures and product demonstrations, engaging executive customers, and driving go-to-market execution toward aggressive sales targets.

Location: Chicago, Illinois; Connecticut; New Jersey; Remote - New York; Remote - Washington D.C.; San Francisco, California

Company

Databricks provides a unified Data + AI Platform used by organizations worldwide to build and scale data and AI applications, analytics, and agents.

What you will do

  • Lead, hire, onboard, coach, and develop a team of Solutions Architects supporting the Startups segment.
  • Partner with Sales and other Field Engineering teams to increase revenue and help customers achieve successful outcomes.
  • Guide technical qualification, validation, architecture discussions, and product demonstrations.
  • Engage strategically with executive customers to shape data infrastructure decisions and go-to-market strategy.
  • Maintain the team’s advanced knowledge of the Databricks technology stack and ensure continuous learning.
  • Build relationships with systems integrators, independent software vendors, Product Management, Engineering, and Customer Success.

Requirements

  • Proven experience building and leading technical pre-sales teams, including hiring, onboarding, coaching, and mentoring.
  • 10+ years of experience in the data space with a technical product, such as data warehousing, big data, machine learning, or generative AI.
  • Experience advising technical executives on strategic data infrastructure decisions.
  • Ability to influence and review complex architectures and guide customers toward scalable solutions.
  • Technical credibility with Engineering talent and leadership.
  • Experience working cross-functionally with Sales, Product Management, Engineering, and Customer Success.

Culture & Benefits

  • Inclusive culture focused on helping employees excel.
  • Comprehensive benefits and perks, with details varying by region.
  • Annual performance bonus and equity may be included in the compensation package.
  • Commitment to inclusive hiring and equal employment opportunity.

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