Amazon Web Services
Technology
SeniorDataSalesSpecialist
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“Senior Data Sales Specialist at Amazon Web Services. Skills: Data platforms, AI integration, Enterprise sales, Customer relationships. Own the conversation data stack. Connect data stack to AI”
What You'll Achieve.
Meet or exceed annual revenue targets
Industry & Context.
Translate business priorities into solution designs
What They're Looking For.
Must Have
10+ years enterprise sales experience, Experience identifying, developing, negotiating, and closing large-scale technology deals, 3+ years direct field sales experience, Technical fluency, English communication skills, Experience selling into ASEAN markets
Nice to Have
Bachelor's degree in Engineering, Computer Science, or related technical field, Experience selling data platforms, cloud databases, analytics, or data lake solutions, Familiarity with competitive landscape, Experience driving adoption of open-source data technologies, Track record selling to C-level executives in ASEAN enterprise organizations, Experience working cross-functionally with Solutions Architecture, Professional Services, and Partner teams, Comfort operating in ambiguity
What You'll Do.
Own the conversation data stack
Connect data stack to AI
Help customers design and adopt modern data platforms
Drive revenue across integrated data portfolio
Lead with a point of view
Help customers see architecture
Own revenue and success goals
create and develop opportunities
Proactively grow usage and revenue
Position AWS as integrated data foundation
Execute migration motions
Navigate competitive dynamics
Bring clarity to account teams
Educate account teams on data messaging
Partner with BD/GTM specialists and Solutions Architects
Accelerate data opportunities
Meet or exceed annual revenue targets
Build and manage pipeline
Maintain a robust pipeline
Develop strategic customer relationships
Build trust-based relationships
How You'll Work.
Team & Collaboration
Account teams; BD/GTM specialists; Solutions Architects; Partner teams
Communication Scope
CXO-level engagement; Whiteboard architecture; Translate business priorities
Full Job Description
At Amazon, we are working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and driven people. Amazon is continually evolving and is a place where motivated employees thrive and also where employee ownership and accountability lead to meaningful results. The data layers of databases, analytics, storage, governance, are the foundation for AI. Enterprises across ASEAN are at an inflection point: modernizing legacy data estates, adopting new data architectures, and establishing the data foundations required to run AI in production. As a Senior Data Sales Specialist in our ASEAN Sales organisation, you will own the conversation data stack across databases, analytics, storage, and governance and connect it to AI. You will be the primary field expert helping ASEAN's customers design and adopt modern data platforms on AWS, while driving revenue across the integrated data portfolio. You'll operate at CXO level (CIO, CDO, CTO) and well as the builders within our customers, leading with a point of view, and help customers see the architecture that solves their business problem. Key job responsibilities Sales Specialists are the ultimate owner of the revenue and success goals of their services in the accounts / territories they are assigned to. Sales Specialists are empowered to pursue, create and develop opportunities across the data stack. They proactively grow usage and revenue for their specific service group within a defined geographic area, territory, or vertical by executing known working sales plays. - Sell the platform. Position AWS as an integrated data foundation connecting operational databases, open lakehouse analytics, governance, and into the AI layer. - Drive growth. Execute SQL Server, Oracle, and analytics migration motions with structured plays, competitive positioning, and urgency. - Navigate competitive dynamics with third-party data platforms. Bring clarity to account teams on when to compete vs. colla
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