• 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 Quick Sight, Tableau, Power BI, Looker, Thoughtspot, Microstrategy, Sisense, Domo, etc.

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 Quick Sight (inclusive of Amazon Q). You will help guide customers in their adoption of Q and Quick Sight 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 Quick Sight, including Generative BI capabilities of Amazon Q in Quick Sight, 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 Quick Sight. 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 Quick Sight and Amazon Q in Quick Sight. 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 AWS

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 Amaze Con (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.

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 we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

About the team
The Amazon Quick Sight WW GTM and SA teams sit within the Gen AI & ML WW Specialist Org (WWSO). The teams cover Amazon Quick Sight and Amazon Q in Quick Sight (Q being a Gen AI feature set in Quick Sight) 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 Gen AI technologies to business users in an enterprise.

• Experience in technology/software sales, pre-sales, or consulting
• Experience with scripting (e.g. Python, Power Shell)
• Experience with AWS technologies
• 2+ years experience architecting and implementing Business Intelligence solutions into production

Acknowledgement of country:
In the spirit of reconciliation Amazon acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today.

IDE statement:
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer, and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected attributes.