Amazon Web Services

Technology

SeniorDataSalesSpecialist

S$145–220k ~AI est. Singapore FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“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.

Technology
Problems you'll solve

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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