Global Blackbelt AI Sales Executive Full-time

Our Global Black Belt (GBB) organization, which is a team of highly specialized and technical professionals within our Microsoft Customer & Partner Solutions organization (MCAPS) who work with customers to enable some of the most complex and innovative solutions, providing differentiated technical leadership and guidance along the way. The AI team within the GBB organization consists of Specialist and Technology experts, who focus on specific domains, industries, and workloads, such as Azure OpenAI Service, Azure AI Services, Application Development and Machine Learning.

As a Global Blackbelt AI Sales Executive , you will be a technical solution expert within our worldwide AI commercial solution area organization working with strategic customers to help establish their AI Strategy, prioritizing key use cases that drive differentiated business outcomes. You will share Microsoft’s AI capabilities, roadmap and envision with customers how AI can transform and drive co-innovation in their business. You collaborate with a team of deep technical experts to build solutions that orchestrate large language models, Azure OpenAI services, vision, speech, machine learning using modern app development principles. You will work closely with customers in workshops to identify and prioritize use cases, design and build rapid prototypes and support minimum viable product (MVP) solution design to production deployment. You will be joining a team of highly skilled experts across the company who are driving some of the most strategic and innovative customer AI projects. This role will require travel to customer sites.

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.

Responsibilities:

• Win new AI engagements by providing deep solution experience and business value, delivered via customer workshops (1:1, 1: many) creating commitment for minimum viable products (MVPs). These MVPs enable business and technical decision makers to leverage and build AI powered applications using Azure Machine Learning, Azure AI Services including Open AI models, and Azure Applied AI services (60% of your time)
• Increase customer value in targeted accounts, enabling AI engagements by demonstrating technical depth and solution experience. You will leverage a portfolio of suggested use cases in targeted scenarios, including best practices for industry application, solution value and specialized co-sell solutions, all of which help to accelerate time to market and customer’s digital transformation. (20% of your time)
• Build and Enable solution selling expertise across mainstream sellers, being a trusted coach and model seller, leading with a technical solution sales approach, orchestrating partners, engineering, and championing the voice of customer, partner and field to global stakeholders. (20% of your time)
• Embody our Culture and Values

Qualifications:

Required Qualifications

• 7+ years of technology-related sales or account management experience
  • OR Bachelor’s Degree in Computer Science, Information Technology, Business Administration, or related field AND 6+ years of technology-related sales or account management experience.
• 3+ years of AI (Machine Learning, Intelligent Apps/Agents, Search) selling experience in enterprise public cloud-based solutions.

Preferred Qualifications

• 4+ years of experience in enterprise solution selling. This includes stakeholder management, deep solution experience, building credibility with a technical audience, CxO communications, solution envisioning, and orchestration of a large, matrixed internal team.
• Experience with building AI and machine learning solutions, Machine Learning Operation frameworks, and leveraging specific machine learning architectures (e.g., deep learning, LSTM, etc.).
• Experience architecting and developing software or infrastructure for scalable, distributed systems and with machine learning technologies.
  • Understanding of a typical AI, ML & App dev lifecycle and associated operations (Dev Ops, MLOps) for sustainable enterprise installations of cloud architecture.
• Familiarity with core machine learning concepts (ex: compute systems – GPU & FPGA, frameworks – TensorFlow & PyTorch, tools – Jupyter notebooks & VS Code, MLOps techniques etc.)
  • Experience with Responsible AI, in practice or theory.

Solution Area Specialists IC5 – The typical base pay range for this role across the U.S. is USD $130,000 – $217,600 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $168,600 – $237,500 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay

Microsoft will accept applications for the role until October 2, 2024.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form .

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.