Microsoft
Technical Proofing Strategy Manager
$131K–$272K
United States · On-site · Manager · Full-time · Posted Oct 23, 2026
- Experience
- 5+ years in a listed business, sales, IT, or engineering field, or equivalent experience; and 4+ years in Near Term Strategy (2 years out), Management Consulting, Sales, or Finance.
- Education
- Bachelor's Degree in Business Administration, Marketing, Finance, Engineering or related field OR equivalent experience.
About the job
Leads a team that develops and delivers technical proof content, sales programs, and operating infrastructure to support Microsoft Security go-to-market strategy.
What you'll do
- Create and validate technical workshops, proof blueprints, and reusable scenario assets aligned to go-to-market priorities.
- Build and scale security programs and platform infrastructure, tracking engagement outcomes and execution health, and using AI-enabled automation.
- Lead and develop a team while advising senior leaders on technical pre-sales strategy and sales go-to-market decisions.
What they ask for
- Bachelor's degree in Business Administration, Marketing, Finance, Engineering, or a related field, or equivalent experience.
- 5+ years of experience in business consulting, sales, sales operations, IT, account management, business development, marketing, IT field sales, engineering, or a related field.
- 4+ years of experience in Near Term Strategy (2 years out), Management Consulting, Sales, or Finance.
Nice to have
- Master's degree in Business Administration or related field and 5+ years of relevant experience; or a bachelor's degree in a listed related field and 7+ years of relevant experience; or equivalent experience.
- 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)
Tools
Microsoft Security, Froniter Accelerate for Security Platform, Froniter Accelerate Security Engine, OSP, AI
AI focus
Automate the operating engine with workload expertise and AI-enabled streamlining; managers are expected to ask employees how they use AI to solve problems, improve workflows, and enhance outputs.
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