Description

Within the Gen AI/ML Specialist organization, this position is part of the Worldwide Specialist Solution Architecture Team, where you will join a global team for Amazon QuickSight (inclusive of Amazon Q). You will help guide customers in their adoption of Q and QuickSight through the creation of scalable enablement mechanisms, deep dive technical guides, and 1:1 engagement with customers as they evaluate service capabilities. You partner with technical and field teams across AWS and bring the voice of the customer into our product development roadmap.

Key job responsibilities

Design and develop solutions and prototypes for customers that make the best use of Amazon QuickSight, including Generative BI capabilities of Amazon Q in QuickSight, and educate customers on how to integrate dashboards and Q&A experiences into their custom applications. Collaborate with AWS field sales, training, and support teams to ensure customer success. Create reusable customer content, such as demos, presentations, documentation, blogs, etc that will drive adoption of Amazon QuickSight. Act as technical liaison between customers and the service engineering teams, providing product improvement feedback to AWS developers and accelerating the adoption of new features in customer deployments. Share what you know by capturing best-practice knowledge from engineering and field teams, including reference architectures and patterns amongst the worldwide AWS solution architect community in order to build a strong worldwide database, analytics and AI/ML community. Evangelize AWS services and solutions that benefit customers and publicly speak at events such as AWS Summits and AWS re:Invent.

A day in the life

Your daily schedule will be a mix of solving customers' challenges and creating scalable assets to further promote the knowledge and understanding of Amazon QuickSight and Amazon Q in QuickSight. You will collaborate with field teams to drive successful customer outcomes, as well as collaborate with service teams to incorporate customers' feedback into the roadmap. You will work closely with Go-To-Market (GTM) Specialist counterparts to develop a strategy to drive customer adoption further in your territory through 1:1 customer engagement and 1:many virtual and in-person events.

About the team

The Amazon QuickSight WW GTM and SA teams sit within the GenAI & ML WW Specialist Org (WWSO). The teams cover Amazon QuickSight and Amazon Q in QuickSight (Q being a GenAI feature set in QuickSight) and align with Amazon Q Business GTM and SA teams to build joint GTM strategies focused on helping business users be more proficient with data. This is a fun, dynamic team covering a rapidly evolving space of applying GenAI technologies to business users in an enterprise.

Diverse Experiences

AWS 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.

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 & 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

• 4+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience

• 3+ years of design, implementation, or consulting in applications and infrastructures experience

• Bachelor's degree

• 2+ years of experience developing dashboards with a Business Intelligence platform such as QuickSight, Tableau, PowerBI, Looker, Thoughtspot, Microstrategy, Sisense, Domo, etc.

Preferred Qualifications

• Cloud Technology Certification (such as Solutions Architecture, Cloud Security Professional or Cloud DevOps Engineering)

• Experience with scripting (e.g. Python, PowerShell)

• Experience in technology/software sales, pre-sales, or consulting

• 2+ years experience architecting and implementing Business Intelligence solutions into production