Microsoft Cloud & AI Digital Solution Engineer Manager 

Taiwan, Taoyuan City 

187069596

Required Qualifications (RQs)

• 5+ years technical pre-sales or technical consulting experience
  • OR Bachelor's Degree in Computer Science, Information Technology, or related field AND 4+ years technical pre-sales or technical consulting experience
  • OR Master's Degree in Computer Science, Information Technology, Business or related field AND 3+ years technical pre-sales or technical consulting experience
  • OR equivalent experience
• 3+ years people management experience (including leading virtual teams)
• Native-level proficiency in Japanese and advanced proficiency in English

Preferred Qualifications (PQs)

• 7+ years technology-related pre-sales or account management experience
  • OR Bachelor's Degree in Information Technology, or related field AND 6+ years technology-related sales or account management experience
  • OR Master's Degree in Business Administration, Information Technology, or related field AND 3+ years technology-related sales or account management experience
• 4+ years solution or services sales experience
  • OR 5+ years demonstrated Pre-Sales Team Management experience in Enterprise sales
  • OR 5+ years of experience in leading and negotiating multi-million-dollar cloud deals
  • Understanding of Microsoft Azure Cloud platform, or other public cloud platforms (AWS, GCP), including IaaS and PaaS technologies and how they translate into business impact. Versed in cloud migration and modernization
  • Knowledge of enterprise software solutions and cloud and datacenter infrastructure competitor landscape including AWS and GCP

• Team Coaching: Create team goal(s) with DSE to work as a team and lean more into sales discipline including tools and processes to drive ACR revenue. Apply ‘Model, Coach, and Care’ framework through a consistent coaching rhythm.
• Customer Focus: Dedicate each week to cultivating relationships with IT leaders, business decision-makers, developers. Gain insights into their needs, broaden your network via social media, and seek out new opportunities.
• Partners Management: Establish a consistent cadence with prioritized partners, emphasizing collaboration, go-to-market strategies, accountability, and achieving ambitious goals. Guide your team to maintain regular interactions and strengthen relationships with partners to accelerate Infra, Data, AI, and Apps initiatives.
• Stakeholder Management: Foster and sustain effective support from key stakeholders, both within and outside the organization. Remove barriers & orchestrate resources to facilitate smooth execution & progress of engagements.
• Pipeline Management: Use tools and processes to turn leads into opportunities. Update your progress weekly, target customers accurately to convert UnCommitted to Committed in milestones.
• Continuous Learning: Build a learning culture in your team to stay updated on new technologies, partner solutions, industry trends, and competitors.