• Bachelor's degree
• Experience in management of technical, enterprise customer facing resources or equivalent
• Experience architecting/operating solutions built on any cloud service provider like Azure, AWS, GCP, OCI, etc.
• Experience managing a technical team of solution architects, sales engineers or similar technical roles
• Hands-on experience with development tools.
• Ability to code in one or more general purpose programming languages, including but not limited to: Java, C#, C/C++, Python.
• Deep understanding of the entire software development lifecycle.

Do you want to help define the future of Go to Market (GTM) at AWS using generative AI? In this role, you will help our customers use the power of Generative AI (Gen AI) to transform the way software is designed, developed, tested, deployed, and managed. You will engage with product owners to influence product direction and help our customers tap into new markets by utilizing appropriate Gen AI-powered AWS Services. You will work with broader AWS Field organization to ensure that they understand the value proposition of the services that you are responsible for and are able to assist our customers in maximizing the value they derive from these services. You will manage a team of talented individuals whose mission will be to transform the entire software development lifecycle (SDLC) and the way individuals interact with technology.

Key job responsibilities
You will help develop the industry’s best cloud-based solutions to grow the Gen AI business. Working closely with our engineering teams, you will help enable new capabilities for our customers to transform their SDLC with the help of AWS Gen AI and other services.

You will facilitate the enablement of AWS technical community, sales, and solution architects with specific customer centric value proposition and demos about end-to-end Gen AI on AWS cloud.

You will possess a business and technical background that enables you to drive an engagement and interact at the highest levels with startups, Enterprises, and AWS partners. You will have the technical depth and business experience to easily articulate the potential and challenges of Gen AI models and applications to engineering teams and C-Level executives. This requires deep familiarity across the stack – compute infrastructure, Gen AI concepts and related services, developer-focused services and Dev Ops best practices, best practices for building complex Gen AI systems, as well as target use cases in the cloud.

You will drive the development of the GTM plan for driving the adoption Gen AI-powered developer productivity tools on AWS, interact with customers directly to understand their business problems, and help them with defining and implementing scalable Gen AI solutions to solve them (often via proof-of-concepts). You will also work closely with account teams, research scientists, and product teams to drive model implementations and new solutions.

You should be passionate about helping companies/partners understand best practices for operating on AWS. An ideal candidate will be adept at interacting, communicating and partnering with other teams within AWS such as product teams, solutions architecture, sales, marketing, business development, and professional services, as well as representing your team to executive management.

You will also look for patterns and trends that can be broadly applied across an industry segment or a set of customers that can help accelerate innovation.

This is an opportunity to be at the forefront of technological transformations, as a key technical leader.

About the team

The Q Developer SA team focuses on two main objectives:
1. Transforming the entire SDLC with the help of AWS Gen AI-powered services.
2. Transforming the way individuals interact with AWS technology with the help of Gen AI.

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.

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.

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.

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.

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, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

• Experience architecting, migrating, transforming or modernizing customer requirements to the cloud
• 10+ years of pre-sales engineering, technical business development, enterprise sales, strategic partnerships, or program/product management experience.
• Thorough understanding of AI/ML technology stack.
• Hands-on experience with creating, shipping, and maintaining software.
• Good communication skills, business, and financial acumen.
• Demonstrated ability to work effectively across internal and external organizations is key.

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

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, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/content/en/how-we-hire/accommodations.