Description

　　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.

　　Amazon Web Services (AWS) is looking for an experienced and motivated business-oriented technologist who possesses a unique balance of business knowledge, AI/ML depth, and effective interpersonal skills. This role will focus on supporting a program and team which help customers looking to use AI/ML and Data & Analytics to enhance their business or operational outcomes.

　　In this role you will lead customers and partners through key adoption perspectives. You will be aligned to AWS’s Cloud Adoption Framework for AI/ML and complexities in adopting technology, people, and process for GenAI. This may include business, people, governance, security, platform, and operational needs, as well as key technology dimensions of Large Language Model benchmarking, fine-tuning, and managing biases to drive Responsible AI.

　　You will lead a team which partners with customers, AWS Sales, and AWS service teams to craft multi-year solutions to serve the needs of the customer, and extend that use to other customers within the industry. You will lead a team which evangelizes AWS AI/ML and AWS Data & Analytics services with other customers and helps drive revenue growth across a broad set of industry-specific use cases. As a team lead and trusted customer advocate, this role will evolve the best practices program for AI/ML, team structure, project approaches, and business measurement. The ability to drive business value with the program is critical to this role.

　　Key job responsibilities

　　Own the program approach (business, organizational, technical) and ultimate success around a portfolio of AI/ML projects

　　Continually expand the program to drive complex, industry-specific business concepts with executives, line managers and data scientists

　　Engage with various AWS team leaders, including solutions architecture, business development, marketing, and regional professional services organizations

　　Drive large, complex sales opportunities to closure and through delivery

　　Ensure program success across customers to launch AI/ML on the AWS platform

　　Continue programs which educate customers on the value proposition of AWS AI/ML

　　Participate as a senior advisor in deep business discussions to ensure solutions are designed to capture business value and drive the intended success metrics

　　Participate as a senior advisor in workshops which identify AI/ML opportunities with our customers considering or already using AWS

　　Capture and operationalize best-practice knowledge for enterprises that wish to drive machine learning more holistically (e.g., deploying a customer center of excellence) in the program

　　Drive AWS customer-facing publications such as whitepapers

　　Build deep relationships with senior individuals within customers to enable them to be AI/ML advocates

　　Act as a business liaison between customers, services, data scientists and support

　　Make meaningful contributions as a senior advisor to support deep business and operational discussions

　　About the team

　　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 flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

　　EEO/Accommodations

　　AWS is committed to a diverse and inclusive workplace to deliver the best results for our customers. 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; we celebrate the diverse ways we work. For individuals with disabilities who would like to request an accommodation, please let us know and we will connect you to our accommodation team. You may also reach them directly by visiting please https://www.amazon.jobs/en/disability/us.

　　We are open to hiring candidates to work out of one of the following locations:

　　Atlanta, GA, USA | Chicago, IL, USA | Los Angeles, CA, USA | Minneapolis, MN, USA | Mountain View, CA, USA | New York, NY, USA | Pittsburgh, PA, USA | San Francisco, CA, USA | Seattle, WA, USA | Washington Dc, DC, USA | West Hollywood, CA, USA

　　Basic Qualifications

　　Bachelor’s degree (Business or Technical)

　　12+ years of experience in AI/ML and Data & Analytic as technology practitioner or executive.

　　Experience leading large, cross-organizational teams (i.e., Product Managers, Business Analysts, Data Architects, Data Scientists, Security, and Data Engineers) that may span geographic boundaries.

　　Experience with writing transformational strategies based on emerging technologies to C-level or Board-level executives (internally or externally)

　　Experience designing, launching, and realizing business results from AI/ML or Advanced Analytical programs for organizations of 5,000 employees or more.

　　Preferred Qualifications

　　Experience presenting to audiences of 50 people or more of various levels (developers to executives) and backgrounds (business, technical, operations) about emerging technology trends

　　Participated in the product management and marketing lifecycles (directly or indirectly)

　　Published industry-specific thought leadership

　　Experience leading Fortune 500 organizations through a public cloud migration or building cloud-native solutions

　　Advanced degree desired (e.g., MBA, MS)

　　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 Los Angeles 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 $146,200/year in our lowest geographic market up to $284,300/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. Applicants should apply via our internal or external career site.