Microsoft
Cloud & AI Platform Solution Engineer Manager
$131K–$272K
Washington, DC · On-site · Manager · Full-time · Posted Oct 23, 2026
- Experience
- 4+ years with a relevant master's degree; 6+ years with a relevant bachelor's degree; or 7+ years of technical pre-sales or technical consulting experience; or equivalent experience. Preferred: 3+ years of people management experience.
- Education
- Master's degree in Computer Science, Information Technology, Business, or related field; OR bachelor's degree in Computer Science, Information Technology, or related field; OR equivalent experience.
About the job
Leads and coaches a solution engineering team supporting Defense Industrial Base customers through Cloud and AI transformation, technical sales, and partner-led solutions.
What you'll do
- Coach the team, set goals, and strengthen sales discipline to drive ACR revenue.
- Build customer relationships, identify needs and opportunities, and manage the pipeline through milestones.
- Coordinate stakeholders and partners, remove engagement barriers, and promote continuous learning.
What they ask for
- Master's degree in Computer Science, Information Technology, Business, or related field and 4+ years of technical pre-sales or technical consulting experience; OR bachelor's degree in Computer Science, Information Technology, or related field and 6+ years of such experience; OR 7+ years of such experience; OR equivalent experience.
- U.S. citizenship, verified via a valid passport.
- Pass the Microsoft Cloud background check upon hire or transfer and every two years thereafter.
Nice to have
- Willingness to obtain a US Security Clearance.
- Understanding of Azure or other public cloud platforms (AWS, GCP), cloud migration and modernization, enterprise software and infrastructure competitors; 3+ years of people management experience.
Pay
USD $130,900 - $251,900 per year (base salary); USD $165,600 - $272,300 per year (base salary) in the San Francisco Bay area and New York City metropolitan area.
Tools
Microsoft Azure, AWS, GCP, IaaS, PaaS
AI focus
Guides customers through Cloud and AI transformation and supports AI initiatives through solution engineering and partner collaboration.
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