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Posted 19 June, 2026

Sales Specialist, Infrastructure Migration and Modernization, WWSO India

Amazon
IN, HR, Gurugram Full Time
Reference: 71_457722_79c39528-d6d7-417a-bde1-2b18ca512514

Supercharge your technology sales career by joining the specialist team at AWS! We are a diverse team of subject-matter experts helping build our customers' AI future with the transformative power of AWS cloud-native services. We operate at the intersection of business and technology, delivering the agility, performance, resilience and security that organizations need in today's ever-changing technology landscape.

Key job responsibilities
Engage with key customer stakeholders (CIO/CTO/CDO/Head of Applications) to understand their top business priorities and challenges, and build the business case for AI-led digital transformation by working alongside AWS account team and Migration BD executives.
Conduct infrastructure assessments to derive AWS TCO and present AWS value proposition for cloud migrations
Engage subject-matter experts from the specialist community to develop high-level solution design for migration of infrastructure workloads and build a long-term modernization roadmap
Work with solution architect community to conduct architecture design workshops and build POCs, drive AI-led transformation of technology stacks
Work with account teams to identify high-propensity accounts for 1:1 engagement, and prospect for opportunities
Work with sales and technical leadership to drive accountability, establish engagement models, and mechanisms for review and reporting
Voice of the Customer: Support creation of lighthouse references, and share customer and market insights with WW service teams to influence roadmap for services and tools, and develop investment programs.

About the team
We are the Worldwide Specialist Organization, and are a team of sales and business development professionals, specializing in solution-led sales of AWS' strategic technology services. We are a diverse community of subject-matter experts that help customers arrive at the most optimal technology decisions for an AI future - spanning infrastructure, applications, database, analytics, and security.

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