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Manager, Field Engineering (SaaS)

Тип работы
fulltime
Английский
b2
Страна
Singapore
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

Manager, Field Engineering (SaaS): Building and leading a team of pre-sales Solutions Architects to drive revenue and technical adoption within assigned accounts with an accent on scaling high-performance technical teams. Focus on coaching team members, optimizing sales cycles through value-based selling, and fostering a collaborative, customer-obsessed culture.

Location: Singapore

Company

Databricks is the data and AI company, providing a unified Data Intelligence Platform for data, analytics, and AI.

What you will do

  • Manage the hiring and development of a high-performing team of pre-sales Solutions Architects.
  • Scale the Field Engineering segment organization while maintaining high quality and operational standards.
  • Partner with sales and marketing teams to build the brand and drive revenue growth.
  • Coach team members on communicating complex, business-value-focused solutions to key stakeholders.
  • Implement processes to improve the efficiency and ROI of technical involvement in sales cycles.
  • Promote a collaborative, diverse, and customer-obsessed team culture.

Requirements

  • Proven experience in a Pre-Sales Manager role building and managing teams of Big Data, Cloud, or SaaS professionals.
  • Demonstrated success in scaling and mentoring technical teams from scratch, including both onshore and offshore resources.
  • Strong background in Data Architecture, such as Data Engineering, Database technologies, or Data Science.
  • Deep understanding of business needs, revenue potential, and data-driven decision-making.
  • Passion for AI and Cloud software models.
  • Ability to institute effective processes for technical field members.

Culture & Benefits

  • Comprehensive benefits and perks tailored to the region of employment.
  • Commitment to a diverse and inclusive workplace culture.
  • Opportunities to work with industry-leading data and AI technologies.
  • Focus on professional growth and team-based success.

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