July 21, 2021

  • 5+ years of technology related sales, business development, or field enablement experience
  • Ability to understand sales and pipeline data and drive business decisions accordingly
BA/BS degree or equivalent experience required
Are you passionate about Artificial Intelligence (AI), Machine Learning (ML), and scalable distributed systems? Do you want to develop impactful AI/ML content and GTM strategies?
AWS is seeking a Sr Artificial Intelligence and Machine Learning Specialist to lead worldwide AWS sales team enablement and training. As a Sr. AI/ML Specialist you will be responsible for defining, building and deploying effective and targeted programs to accelerate broad based sales and business development activities for the AWS AI/ML services.
You will be the internal face of AWS AI/ML for the field sales teams. You will define and execute the market development activities worldwide for AWS AI/ML services including Amazon SageMaker, Amazon Transcribe, Amazon Rekognition, Amazon Comprehend as well as the rest of the AWS AI/ML portfolio. You will work closely with AWS business development, product management, sales, marketing, solutions architect, and partner teams to build and leverage worldwide programs or campaigns and to enable AWS sales teams to communicate the value of the AWS AI/ML portfolio.
Your work will define and drive the process that the organization follows to accelerate sales and partner engagements. This will include how internal training is structured and communicated, how AWS sales teams find resources to assist in AI/ML adoption, and will also expand into influencing the AWS strategy regarding sales team AI/ML use-case prioritization and compensation.
You will synthesize data and information gathered from sales team engagements into the AWS GTM strategy for AI/ML to successfully scale efforts through the worldwide sales teams. This entails deriving succinct findings, developing strategic insights, and persuasively communicating those findings and perspectives to senior management.
The ideal candidate will possess a sales or business development background and will have a foundation of experience driving programs across worldwide stakeholders. The candidate will have technical depth and business experience necessary to easily communicate the benefits of AI/ML services to AWS sales teams.
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 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 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.
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. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.
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. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.
  • Experience with worldwide program/project management
  • Experience crafting and presenting training programs
  • Experience with Tableau/SQL/QuickSight
  • Experience with Salesforce and email marketing tools
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records."
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."
This position can be remote, but candidates must be based near an AWS office location (Arlington, Atlanta, Austin, Boston, Chicago, Cupertino, Dallas, Denver, East Palo Alto, Herndon, Houston, Irvine, Minneapolis, New York City, Portland, San Diego, San Francisco, Washington D.C., Sunnyvale, Santa Monica, Seattle)
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.
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 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.
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