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Microsoft Technology Specialists-Database 
China, Beijing, Beijing 
202688643

10.09.2024

Overview

Your roles as a Microsoft Technology Specialists (TS) is to win the technical decision of customers to purchase and use our technology. The TS is expected to be able to both own and win customers’ technical decisions, as well as find new opportunities through their contacts and engagements for sales specialists to pursue. As a TS, you work within a vir Are you passionate about helping customers transform their businesses? Microsoft is at the forefront of this transformation; come and help organizations rethink aspects of their business in a way that sets them and their people up for success.

tual team of technical, partner and consulting resources to help educate your customers at a technical level, demonstrate, and prove our solutions, and win the technical decision, allowing the team to achieve/exceed quarterly sales targets in your accounts. Being part of this team will allow you to maintain and develop your deep technical expertise across Microsoft and non-Microsoft cloud-based technologies.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Qualifications

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, or related field AND 3+ years technical pre-sales or technical consulting experience

OR equivalent experience

Responsibilities

Own technical discussions with customers leveraging processes and tools, demos, and programs using consultative sales methodology and technical expertise to influence the customer vision; establish rules of engagement (e.g., role boundaries, handoff strategies) for extended teams.

Build technical strategy: map the agreed customer vision into a strategy, resolve concerns, preventing and removing technical blockers, and validating a strong business case for investment and translated technology complexity into business impact. Work with the customer, account team, and partners to orchestrate a roadmap for implementation guiding the customer to choose the best Microsoft Analytics platform and win the AI design for their needs.

Design the solution using your AI technical knowledge, architectural approach, consultancy skills and our methodology to win a customer’s technical decision and meet the customer’s needs; drive proof of concepts (POCs)/Pilots to create momentum for MVPs, infusing key AI technologies where appropriate and being t echnically proficient to do POC with hands-on-skills.

Cross collaboration across AI, and Apps Innovation team to drive AI Design Wins and support the customer AI transformation inclusive of AI Applications and data foundation. Support the creation of new pipeline in collaboration with the Specialist and account team by identifying new opportunities within customer engagement and hand off to the Solution Specialist for pursuit.

Be the Trusted advisor and use proactive effort to find and understand customers’ pain points and work with partners to design and offer solutions (with business case) to technical leaders by being a Microsoft AI and Analytics platform evangelist inclusive of new AI and Analytics projects plus real-time analytics, and end to end Data, Analytics and AI solutions.

Be the Voice of Customer to share insights and best practices with Global Black Belt and Engineering, to remove key blockers and drive product improvements.

Maintain and grow expertise in AI technologies (Azure OpenAI Service, Azure AI Services, and Azure ML and Model Catalog) and relevant Analytics, Data warehousing, Data Engineering, Data Science, and AI scenarios including Intelligent Data and Analytics Platform (Azure SQL DW, Lakehouse architecture, Fabric, Azure Databricks, Power BI) while keeping up to date with market trends and competitive insights; collaborate and share with the Data & AI technical community.