AI/ML Sales Specialist, ASEAN, AWS Data Specialists Full-time

AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.

Are you a customer-obsessed builder with a passion for helping customers achieve their full potential? Do you have the business savvy, Artificial Intelligence and Machine Learning background, and sales skills necessary to help companies transform their industries by positioning Amazon Web Services (AWS) as the Generative AI service provider of choice? Do you love building new strategic and data-driven businesses? If so, you may be the right candidate to join AWS ASEAN’s Specialist organization as a Generative AI and Machine Learning Specialist Sales.

As a Generative AI Specialist Sales, you will be at the forefront of driving adoption and revenue growth for AWS’ cutting-edge Generative AI services. Your role will involve identifying high-value customer opportunities within a specific territory and engaging with AWS customers to understand their needs and align them with AWS Generative AI solutions. You will leverage your consultative expertise to become a trusted advisor, guiding customers in embedding and deploying AWS Generative AI solutions to unlock new value streams and solve key business problems using powerful AI capabilities. With a passion for developing high-potential opportunities and executing effective strategies, you will own the full-cycle sales engagement plan, from identifying qualified leads to realizing revenue. You will understand a customer’s business initiatives, help craft account plan to achieve those initiatives, identify and drive opportunity win plans to enabling those business initiatives, and ensure successful launch to realize both customer vision and AWS revenue. You will earn trust with Line of Business, Data Science, IT personas, and executive leaders. You will understand detailed business drivers in your forecast, and intentionally work the best opportunities that maximize your ability to hit revenue goals.

You will maintain an in-depth knowledge of AWS’ Generative AI services, leading foundation models, and relevant cross-functional areas to build strong relationships with customers. By driving the adoption of cutting-edge Generative AI technologies, you will play a pivotal role in propelling AWS’s revenue growth while helping customers stay ahead of the curve in a rapidly evolving technological landscape. You exercise Learn & Be Curious to articulate AWS’ Gen AI strategy and the services we offer to accelerate these workloads. You conduct compelling executive conversations on the transformational possibilities of generative AI and data, while also being capable of helping our customers navigate which services to evaluate for their use-cases. You can describe the “why” and “what” of Generative AI use case and technical solutions at a 200 to 300 level, with the detailed “how” being provided by solution architects. You will be the preferred point of contact for cross group functions within the organization for for customers in Thailand and across ASEAN.

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Key job responsibilities

– Accelerate customer adoption by defining and implementing tech domain specific GTM and Sales strategies within your assigned accounts and technology domain. Your strategies will leverage AWS Sales and our partner ecosystem.

– Ideate with Data Science, Developers, Line of Business, and C-suite leaders, building trust with your deep technical expertise, and following through to help solve their most compelling business problems.

– Act as the front line within your accounts for all specialist customer engagement in your tech domain.

– Create and articulate compelling value propositions that address specific needs of your customers.

– Build and Innovate: Co-develop GTM motions on new product launches and work with product teams on the creation of innovative new services.

– Partner with the world’s biggest system integrators and FM Developers to deliver on customer projects.

– Spearhead market expansion by pinpointing new customer segments and Gen AI use cases.

– Collaborate cross-functionally to continuously strengthen AWS’s Gen AI value proposition.

– Gather voice-of-customer insights to inform product roadmaps and enhance the customer experience.

– Drives conversations to build credibility and earn trust with the account teams and customers.

– Drive sales efforts spanning multiple lines of business with decision-making authority and budget ownership.

– Engage systems integrators and closely collaborate with AWS partners to deliver maximum customer value.

– Develop and deliver compelling ROI to drive adoption of AWS Gen AI solutions.

– Role require traveling up to 50% (local / international).

A day in the life

You’re surrounded by innovation. You’re empowered with a lot of ownership. Your growth is accelerated. The work is challenging. You have a voice here and are encouraged to use it. Your experience and career development is in your hands. We live our leadership principles every day. At Amazon, it’s always “Day 1”.

About the team

Diverse Experiences

Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why AWS

Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating – that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Work/Life Balance

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

Inclusive Team Culture

Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

Mentorship and Career Growth

We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

BASIC QUALIFICATIONS

– 7+ years of direct sales, pre-sales, or business development in Thailand/ASEAN in software, cloud, or SaaS markets selling to C-level executives.

– Must have experience working with Data Scientist, Developers and Machine Learning professionals.

– Hands on experience on industry leading IDE / development platform for Machine Learning, LLM development and software development life-cycle.

– Experience developing, implementing, managing and executing cross-functional growth go-to-market programs and sales motion.

– Native Thai speaker with exceptional interpersonal and communication (both written and verbal) skills. Experience communicating with both technical and non-technical stakeholders across multiple teams.

PREFERRED QUALIFICATIONS

– 10+ years of direct sales or business development in Thailand/ASEAN in software, cloud, or SaaS markets selling to C-level executives experience.

– Preferred experience working on AWS’ AI/ML services such as Amazon Sagemaker.

– Knowledge on Generative AI Services, AI, Machine Learning, and Foundation Model development.