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Atlanta, GA; Dallas, TX; Fargo, ND; Minneapolis, MN
Source: Microsoft careers · View original posting
From Microsoft's posting. “We” and “our” refer to the employer.
Overview
Our purpose is to empower organizations to transform the way they work by harnessing the full potential of artificial intelligence. We guide customers through the evolving digital landscape, enabling them to unlock new opportunities, enhance productivity, and deliver employee and customer experiences. By integrating advanced AI capabilities across devices, cloud platforms, and everyday business applications, we help organizations realize seamless, innovative, and secure solutions that drive sustained growth and success in the AI era.
In this role you will be the Digital Solution Engineering, Dynamics 365 for the enterprise segment for your assigned workload and a member of the sales team that consists of AI Business Process Specialist (SSP), Customer Success Unit (CSU), partners and engineering.
As an Digital Solution Engineering, Dynamics 365 you will lead AI transformation engagements with ERP domain expertise. Your role involves owning the technical win strategy and supporting AI Business Process Sales Specialists (SSP) by forming relationships with C-Suite executives, Business Decision Makers (BDMs), and Technical Decision Makers (TDMs) like CIO, CTO, and IT Leaders. You will help them achieve their goals for product proficiency, roadmap, and compete discussions to secure technical decisions.
Your responsibilities include orchestrating and executing POCs, envision workshops, whiteboarding sessions, and conducting technical demonstrations to showcase the business value of D365 F&SC, Copilot Studio, and LOB AI Agents offerings. You will proactively collaborate with partners early in the sales cycle.
You will be part of a dedicated sales community supported by Account teams, Marketing, Engineering, and Customer Success teams that enable you to drive enterprise-wide adoption of D365 solutions. You will secure wins against key competitors by showcasing Microsoft’s unique differentiation, One Microsoft narrative, supporting migration and replacement technical plans, and addressing technical blockers related to Copilot and AI Agents compliance, privacy, and security concerns.
As a Solution Engineer, you will collaborate with SI partners early in the sales cycle to scale technical engagements—such as demos, whiteboarding sessions, and POCs—supporting customers effectively. You will be responsible for increasing D365 F&SC revenue by generating new pipeline creation, increased deal velocity and share capture by supporting SSP in addressing technical proof needs.
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.
Digital Solution Engineering IC4 - The typical base pay range for this role across the U.S. is USD $106,400 - $203,600 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 $137,600 - $222,600 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
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
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
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