jobs in DATABRICKS ASIAPAC UNIFIED ANALYTICS PTE. LTD.

全职 Manager, Field Engineering 工作, 薪水 up to SGD 16,500, DATABRICKS ASIAPAC UNIFIED ANALYTICS PTE. LTD. Central Region (Singapore) 公司招聘中 - Ricebowl

Manager, Field Engineering

DATABRICKS ASIAPAC UNIFIED ANALYTICS PTE. LTD.

SGD16,500 - SGD16,500 每月

Central Region (Singapore)

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工作地点

  • 9 RAFFLES PLACE Central Region (Singapore) Singapore

职位描述

岗位职责

As a Manager, Field Engineering, you will build and lead a team of pre-sales Solutions Architects focusing on your assigned accounts for the Asean market. Your experience partnering with the sales organisation will help close revenue with the right approach whilst coaching new sales and pre-sales team members to work together. You will guide and get involved to enhance your team's effectiveness; be an expert at communicating complex, business value-focused solutions; support complex sales cycles; and build relationships with key stakeholders in customers' companies. You will report to the Head of Field Engineering, Asean Strategic.

The impact you will have:

  • Manage hiring, building the pre-sales team of Solutions Architects
  • Rapidly scale the designated Field Engineering segment organisation without sacrificing quality
  • Build a collaborative culture within a rapid-growth team. To embody and promote Databricks' customer-obsessed, teamwork and diverse culture
  • Support increase Return on investment of SA involvement in sales cycles by 2-3x over 18 months
  • Promote a solution and value-based selling field-engineering organisation
  • Display an understanding of business needs and revenue potential for accounts in the assigned region
  • Build Databricks' brand in partnership with the Marketing and Sales team

What we look for:

  • Experience in Pre Sales Manager role in developing, managing and building a team of successful Big Data, Cloud, or SaaS professionals
  • Have experience scaling and mentoring field and technical teams from scratch both onshore and offshore teams.
  • Knowledgeable in and passionate about data-driven decisions, AI, and Cloud software models
  • Great at instituting processes for technical field members to improve efficiency
  • Background experience in Data Architecture such as Data Engineering / Database technologies or Data Science

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