If you're interested in joining a rapidly growing team working to build unique, world-class technology experiences in the Media, Entertainment, Gaming, and Sports (MEGS) industry with a relentless focus on Data and AI solutions, you've come to the right place.
At Amazon Web Services (AWS) we are inventing the future of cloud computing with a team of builders who try new things and dream big dreams. We are seeking a leader in the Specialist Solutions Architect team who can help shape and deliver on our Data and AI cloud strategy for our MEGS customers and partners.
Within AWS, this position is a part of the Go-To-Market (GTM) Specialist team, where you will lead GTM strategy for AWS' Data and AI services for Media, Entertainment, Gaming, and Sports customers. We create sales plays, leverage partners, and build new initiatives that drive results for our customers in the MEGS sector. We provide critical feedback from customers to inform our product roadmap, and work closely with our partner network to build an ecosystem supporting our customers' goals. In emerging areas, we play a critical role as the "first in" teams to build markets for new services, domains, or solutions.
As a senior leader on the team, you will use your strong management skills and experience selling technology solutions to coach, retain, and motivate a senior Solutions Architect team that works with C-Level clients to transform their business through Data and AI solutions. This specific role will be leading Solution Architects specialized in AWS Data and AI services for MEGS workloads.
In this role, you will need to be technically capable and credible in Data and AI solutions as well as effective in shaping the customer and solutions-focused skills of your team. We need innovative leaders who can look beyond the technology and envision how AI and ML can create transformative value for MEGS customers. This is critical for the role. You will help team members ramp-up on AWS Data and AI services as well as develop speaking, writing, presentation, and executive interaction skills. You will also need to be adept at interacting, communicating and partnering with other departments within AWS such as our AI/ML services teams, marketing, and professional services teams, as well as representing your team to executive management.
The ideal candidate will possess both business acumen and deep technical knowledge in Data and AI that allows them to strategically engage at the executive level with MEGS customers and internal stakeholders. You should also be a self-starter who is prepared to develop and execute against a fast-moving strategy plan. Operational excellence is a key requirement for the role.
- Hire, on-board, coach, and develop new Solutions Architects specializing in Data and AI solutions
- Develop mechanisms and tools that enable fast engagement with MEGS customers and track key metrics and KPIs for your team
- Build and leverage relationships with all internal and external stakeholders to further the adoption of AWS Data and AI services in the MEGS market
- Lead a Customer Obsessed business that delights our MEGS customers and aids in their AI innovation journey
- Accelerate customer adoption through well-developed sales engagements and successful GTM strategies for Data and AI solutions
- Capture and share best-practice knowledge for AI/ML implementations amongst the AWS solutions architect community
- Guide and motivate the development of whitepapers, data sheets, and other high-value customer facing guidance and best practices for MEGS-specific AI solutions
- Act as a conduit and liaison between customers, AI service engineering teams and support
Key job responsibilities
- Hire, on-board, coach, and develop new Solutions Architects specializing in Data and AI solutions
- Develop mechanisms and tools that enable fast engagement with MEGS customers and track key metrics and KPIs for your team
- Build and leverage relationships with all internal and external stakeholders to further the adoption of AWS Data and AI services in the MEGS market
- Lead a Customer Obsessed business that delights our MEGS customers and aids in their AI innovation journey
- Accelerate customer adoption through well-developed sales engagements and successful GTM strategies for Data and AI solutions
- Capture and share best-practice knowledge for AI/ML implementations amongst the AWS solutions architect community
- Guide and motivate the development of whitepapers, data sheets, and other high-value customer facing guidance and best practices for MEGS-specific AI solutions
- Act as a conduit and liaison between customers, AI service engineering teams and support
About the team
This position is part of the AWS Specialist and Partner Organization (ASP). Specialists own the end-to-end go-to-market strategy for their respective technology domains, providing the business and technical expertise to help our customers succeed. Partner teams own the strategy, recruiting, development, and growth of our key technology and consulting partners. Together they provide our customers with the expertise and scale needed to build innovative solutions for their most complex challenges.
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 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.
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 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. - 10+ years design/implementation/consulting experience of distributed applications
- 7+ years' experience leading high performance teams in a matrixed environment
- 7+ years management of technical, customer facing resources
- 7+ years of Data Analytics, Machine Learning, and AI implementation experience- Experience architecting, migrating, transforming or modernizing customer requirements to the cloud
- Experience with AI/ML implementations in Media, Entertainment, Gaming, or Sports industry
- Deep understanding of data analytics, machine learning, and AI services on AWS
- Experience with content creation, digital media workflows, and gaming technologies
- AWS Solution Architecture certification with focus on Data & AI services
- Strong written and verbal communication skills with executives Demonstrated ability to adapt to new technologies and learn quickly
- History of successful technical consulting with large-scale MEGS customers
- Experience migrating or transforming legacy solutions to cloud-based Data and AI solutions
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit
https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $180,900/year in our lowest geographic market up to $312,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit
https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
