Do you like startups? Are you interested in all things Generative AI? Do you enjoy leading teams and developing people? Yes? We have just the right role for you.
Startups are the large enterprises of the future. These new companies are founded by ambitious people who have a desire to build something meaningful and to challenge the status quo to address underserved customers, or to challenge incumbents. They usually operate in an environment of scarcity: whether that’s capital, engineering resource, or experience. Many of the most interesting companies being created today are at the cutting edge of building Generative AI applications.
The AWS Startup Solutions Architecture team is comprised of customer-obsessed technical experts who spend their time helping these early stage startups as they build their businesses. The team makes sure that these companies can deploy the best, most scalable, and most secure architectures possible – and that they spend as little time and money as possible doing so. As well as working with these customers directly, members of this team also work with key startup influencer and investor groups, such as VC funds, and incubators or accelerators.
The customers you and your team will work with are some of the most exciting startups in the world; specifically those who are creating new applications and business models with Generative AI at the core.
We are looking for a technical leader, passionate about building a high-performing team of customer-obsessed Solutions Architects. Your experience as a technologist will enable you to create a compelling technical vision for your team and its customers. Your experience managing teams of technical builders will allow you to hire and develop a team of world-class architects.
You’ll engage with a host of other AWS leaders as you work with your team members to build plans that define how we will help early stage Generative AI startups. These plans will encompass both one-to-one engagements with specific customers as well as broadening your team’s impact via one-to-few or one-to-many engagements involving multiple customers. You’ll also work with other AWS teams such as marketing and training to define how your team will contribute to scaled activities such as technical content creation or public speaking.
Many of our innovations and product improvements are driven by customer feedback: you’ll develop and use mechanisms that ensure the insights your team gains from their engagements with customers are delivered to relevant service engineering teams so that we can keep improving our products and make sure they continue to be relevant to early stage startups.
Key job responsibilities
- Work with peers in Account Management and Business Development functions to develop comprehensive pursuit and engagement plans that meet the needs of startup customers in the Generative AI space
- Act directly as a technical executive sponsor for our most critical accounts
- Champion your area’s customer needs with senior leaders (Director, VP) inside AWS
- Hire, on-board, train, and develop Solutions Architects from internal and external sources
- Develop mechanisms to ensure your team is well-positioned to deliver high value to customers and the right results for the business
- Maintain a high bar for operational excellence; define and maintain appropriate cadences for inspecting the business in your area
- Own the talent management strategy and outcomes for your team (performance management, promotion pipelines, leadership development, mentoring programs etc.)
About the team
The startup organization at AWS comprises of experts that are passionate about startups. They engage with founders, venture capitalists, angel investors and work with technical, product and go-to-market teams at some of the most exciting companies on the planet.
About AWS
Diverse Experiences
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.
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.
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:
About the broader organization: Sales, Marketing and Global Services (SMGS)
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.
BASIC QUALIFICATIONS
- 5+ years of management of technical, enterprise customer facing resources or equivalent experience
- 5+ years of infrastructure architecture, database architecture and networking experience
- Bachelor's degree
- Experience architecting/operating solutions built on any cloud service provider like Azure, AWS, GCP, OCI, etc.
PREFERRED QUALIFICATIONS
- Experience architecting, migrating, transforming or modernizing customer requirements to the cloud
- Experience working with startup customers building GenAI applications and products
- Experience working with 3rd party AI model providers to evaluate model quality/performance
- Experience deploying models on model hosting platforms and/or working with early adopters of model APIs
- Knowledge of use cases for large language models in various industries
- Expertise with general purpose programming languages, including but not limited to: C/C++, C#, Python
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/en/disability/us.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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.