Technical Specialist - Analytics, AI, GenAI (Presales)
Microsoft
Software Engineering, IT, Sales & Business Development, Data Science
Posted on Dec 17, 2024
Technical Specialist - Analytics, AI, GenAI (Presales)
Multiple Locations, Germany
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Date posted
Dec 16, 2024
Job number
1793918
Work site
Up to 50% work from home
Travel
50-75 %
Role type
Individual Contributor
Profession
Technology Sales
Discipline
Technology Specialists
Employment type
Full-Time
Overview
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.
The main goal of Microsoft Technology Specialists (TS) is to win the technical decision of customers to purchase and use Microsoft technology and cloud services, for Data & AI scenarios and our Azure AI & Analytics platform including Azure AI, OpenAI, Azure Databricks and Microsoft Fabric.
The TS is expected to help the customers technical evaluators and decision makers to take the best decisions, as well as find new opportunities through their contacts and engagements for sales specialists to pursue. As a TS, you work within a virtual 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
Required/Minimum Qualifications:
- Solid experience in technical pre-sales or technical consulting
- Experience from data team (e.g., Data Analyst or Data Architect or Data Scientist)
- Master's OR Bachelor's Degree in Computer Science, Information Technology, or related field AND solid technical pre-sales or technical consulting experience OR equivalent experience
- General understandings of Microsoft's data portfolio and the platform capabilities
- Fluent in German & English language
Additional or Preferred Qualifications:
- Understanding and practical hands-on implementation experience at the expert level in one of the 3 areas: Analytical Data Platforms, AI / GenAI Solution Development or Database Migrations
- Azure Certifications: Azure Data Engineer Associate, Enterprise Data Analyst Associate, Azure Data Scientist Associate, Azure AI Engineer Associate or equivalent industry certifications preferred.
- Competitive Landscape: Knowledge of Data, Analytics & AI platforms such as Snowflake, Databricks, MongoDB, AWS (Redshift), GCP Big Query, Open AI, AWS Bedrock, Gemini, etc.
- Partners: Experience leveraging partner solutions to solve customer needs and scale opportunities.
- Experience creating AI and Analytics Proof of Concepts (PoC)/Pilots for customers that lead to production deployments.
- Collaborative: Works cohesively with customers, the Microsoft account team, and Microsoft partners. Helps others succeed by identifying and promoting innovative solutions and strategies.
- Excellent Communicator: Demonstrates executive presence, presentation skills, deep technical product demo abilities, written and verbal communication skills.
- Deep domain knowledge in Data & AI Platforms like Microsoft Fabric, Azure Data Explorer, Azure Databricks, Azure Data Factory, Power BI, Azure AI Studio, Azure OpenAI, Azure Cosmos DB, Purview etc. Hands-on experience working with the respective products at the expert level. Solid hands-on programming experience (Scala, Python, SQL etc.)
- Relationship Building: Proven track record of building deep technical relationships with senior executives. Experience in managing various stakeholder relationships to get consensus on solution/projects. The ability to influence and build relationships across technical and business teams.
Responsibilities
Your Key Responsibilities:
- Lead technical discussions with customers leveraging processes and tools, demos, and programs; using consultative sales methodology and technical expertise to understand the customer needs and demonstrate how Microsoft solutions can address them; 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, prevent & remove technical blockers, validating a strong business case for investment and translated technology complexity into business impact.
- Design the solution using your technical knowledge, architectural approach, consultancy skills and our methodology to win a customer’s technical decision and meet the customer’s needs. Ensure technical decision makers agree with proposed architecture. Drive POCs/pilots to create momentum for MVPs, infusing key Data & AI technologies where appropriate and being technically proficient to conduct and complete a POC with hands-on-skills. Articulate the end-to-end architecture, including both AI and Data services.
- Identify new opportunities within customer engagements.
- Be the Trusted advisor and use proactive effort to find and understand customers’ pain points, and design and offer solutions (with business case) to technical leaders.
- Be the Voice of Customer to share insights and best practices with Engineering, to remove key blockers and drive product improvements.
- Maintain and grow expertise in Data Modernization (Azure Cosmos DB and Open Source DB), Analytics & Data warehousing scenarios (Azure Data Lake, Azure Synapse, Microsoft Fabric, Azure Databricks, Power BI), and AI technologies (Azure OpenAI Services, Azure Cognitive Services, Azure Machine Learning) while keeping up to date with market trends and competitive insights; collaborate and share with the Data & AI technical community.
- Be an Azure platform evangelist for Data & AI scenarios and present Lessons Learned and Best Practices on Conferences and Customer Workshops or share them during Hackathons with our customers or technical community.
- Scale through partners, acting as liaison between the partner and account team and facilitating partner resources and processes; supporting partner technical capacity by identifying skill and resource gaps and providing feedback to internal teams.
- Develop customer technical skilling plan in collaboration with customer and account team.
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
Industry leading healthcare
Educational resources
Discounts on products and services
Savings and investments
Maternity and paternity leave
Generous time away
Giving programs
Opportunities to network and connect
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.