1 Sr. Manager Solutions Architecture - Generative AI, AWS Startups Job in WA, WA
Amazon is Hiring a Sr. Manager Solutions Architecture - Generative AI, AWS Startups Near WA, WA
DESCRIPTION
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
- 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.,)
- Work with peers in Account Management and Business Development functions to develop comprehensive engagement plans that meet the needs of startup customers in your area
- 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
About the team
Inclusive Team Culture
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have twelve employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and we host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.
Work/Life Balance
Our team also puts a high value on work-life balance. Striking a healthy balance between your personal and professional life is crucial to your happiness and success here, which is why we aren’t focused on how many hours you spend at work or online. Instead, we’re happy to offer a flexible schedule so you can have a more productive and well-balanced life—both in and outside of work.
Mentorship & Career Growth
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.
We are open to hiring candidates to work out of one of the following locations:
New York, NY, USA | Portland, OR, USA | San Francisco, CA, USA | Seattle, WA, USA
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.
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 $160,800/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.
Job Summary
Full Time
Transportation
$159k-197k (estimate)
04/07/2024
06/06/2024
RANDALLSTOWN, MD
25 - 50
2018
$50M - $200M
Transportation
