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Microsoft Lead Future Cloud & AI Solution Engineer Manager 
Taiwan, Taoyuan City 
952294152

Yesterday

of AI

As a Solution Engineer Manager, you will lead a team oftechnologies to win technical decisions.

in the age of AI. You will have proven experience developing a high-performance team through continuous coaching andinspiration, andexcel at building strong relationships and leadership connections to understand customer needs and partner ecosystems. You will


Required Qualifications (RQs)

  • 7+ years technical pre-sales or technical consulting experience
  • OR Bachelor's Degree in Computer Science, Information Technology, or related field AND 6+ years technical pre-sales or technical consulting experience
  • OR Master's Degree in Computer Science, Information Technology, Business or related field AND 4+ years technical pre-sales or technical consulting experience
  • OR equivalent experience

Preferred Qualifications (PQs)

  • 8+ years technical pre-sales, technical consulting, or technology delivery, or related experience
  • OR equivalent experience
  • 6+ years experience with cloud and hybrid, or on premises infrastructures, architecture designs, migrations, industry standards, and/or technology management
  • 3+ years people management experience (including leading virtual teams)
Responsibilities
  • Create team goal(s) with SolutionEngineering
  • Focus:.Dedicate each week tocultivatingrelationships with IT leaders, business decision-makers, developers. Gain insights into their needs, broaden your network via social media, and seek out new opportunities.
  • Stakeholder Management:Foster and sustain effective support from key stakeholders, both within and outside the organization. Remove barriers & orchestrate resources tofacilitatesmooth execution & progress of engagements.
  • Pipeline Management:Use tools and processes to turn leads into opportunities. Update your progress weekly, target customers accurately to convertUnCommittedto Committedin milestones.
  • Partners Management:Establisha consistent cadence with prioritized partners, emphasizing collaboration, go-to-market strategies, accountability, and achieving ambitious goals. Guide your team tomaintainregular interactions and strengthen relationships with partners to accelerate Infra, Data, AI, and Apps initiatives.
  • Continuous Learning:Build a learning culture in your team tostay updated onnew technologies, partner solutions, industry trends, and competitors.