Senior Data Sales Specialist, ASEAN

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 ASEANs customers design and adopt modern data platforms on AWS while driving revenue across the integrated data portfolio.

Youll 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. collaborate.
- Educate account teams on data messaging and competitive positioning. Partner with BD/GTM specialists and Solutions Architects to accelerate data opportunities within strategic customer segments and key accounts.
- Meet or exceed annual revenue targets by building and managing pipeline. Maintain a robust qualified pipeline with accurate forecasting.
- Develop strategic customer relationships. Build trust-based relationships with senior technology and business leaders across ASEANs most important accounts.

About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description we encourage candidates to apply. If your career is just starting hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.

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- Experience identifying developing negotiating and closing large-scale technology deals
- Experience engaging and presenting to senior executives (CXO level).
- 10 years in enterprise technology sales with quota ownership selling to commercial or enterprise customers.
- 3 years of direct field sales experience across two or more of: databases analytics storage data governance or data platform solutions.
- Technical fluency - able to whiteboard a modern data architecture engage credibly with engineering teams and translate business priorities into solution designs.
- Experience selling into ASEAN markets or comparable multi-country territories.

- Technical background in Engineering Computer Science or Management Information Systems.
- Experience selling data platforms cloud databases analytics or data lake solutions.
- Experience driving adoption of open-source data technologies (e.g. Apache Iceberg Apache Spark PostgreSQL).
- Track record selling to C-level executives in ASEAN enterprise organizations particularly CIO CDO and CTO.
- Experience working cross-functionally with Solutions Architecture Professional Services and Partner teams to land complex deals.
- Comfort operating in ambiguity - this role requires you to build the playbook not just run it.

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