Senior Customer Success Specialist GenAI, AWS Specialist and Partner Organization

This position is part of the AWS Specialist and Partner Organization (ASP). Specialists own the end-to-end go-to-market strategy for their respective technology domains providing the business and technical expertise to help our customers succeed. Partner teams own the strategy recruiting development and growth of our key technology and consulting partners. Together they provide our customers with the expertise and scale needed to build innovative solutions for their most complex challenges.

As a Senior Customer Success Specialist GenAI within the AWS Specialists & Partners (ASP) Customer Success Center of Excellence org you will drive enterprise adoption and measurable customer business value realization for AWS generative AI services by developing and executing comprehensive customer success strategies. You will architect the frameworks programs and playbooks that enable AWS teams and partners to unlock value for customers through optimal adoption of AWS generative AI services. This role combines strategic thinking with operational excellence and generative AI focused technical aptitude to create repeatable scalable mechanisms and assets that transform how AWS and our partners deliver customer success.

You will maintain an in-depth knowledge of AWSs Generative AI services and relevant cross-functional areas to build strong relationships with field teams and customers. By driving the adoption of Generative AI technologies you will play a pivotal role in propelling AWSs revenue growth while helping customers stay ahead of the curve in a rapidly evolving technological landscape. You exercise learn & be curious to articulate AWS Gen AI strategy and the services we offer to accelerate adoption. You conduct compelling executive conversations on the transformational possibilities of generative AI and data while also being capable of helping our customers navigate which features to apply for their use-cases. You can describe the why and what of generative AI use case and technical solutions at a 200-level with the detailed how being provided by solution architects.

IMPORTANT NOTE: This role requires specific experience leading organizational AI transformation. While valuable experience as an AI practitioner (e.g. data scientist ML engineer AI researcher) without transformation leadership experience does not meet the requirements for this position.


Key job responsibilities
Strategic customer engagement:
- Develop and execute customized success plans with customers enterprise adoption strategy and business goals for respective service domain.
- Develop and scale customer success programs through respective service domain teams and partner success team.
- Engage with customer employee personas to understand their unique needs and challenges; design and deliver tailored technical workshops and enablement programs to accelerate adoption.
- Orchestrate executive alignment and stakeholder buy-in for adoption initiatives and customer advocacy programs.
Adoption program development:
- As an adoption expert create and maintain best practices documentation implementation guides and training materials to be applied across multiple service domains.
- Track and analyze adoption metrics to measure effectiveness and identify areas for improvement.
- Develop governance frameworks for sustainable adoption at scale across domains.
Customer success management:
- Monitor customer health dashboards and proactively address potential risks or adoption barriers to customer business value realization.
- Drive customer advocacy through success story documentation and advocacy program participation.
Product feedback loop:
- Collect and communicate customer feedback insights and requirements to Go-To-Market teams.
- Analyze trends in customer requests and pain points to identify potential product improvements.

About the team
Why AWS

Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Diverse Experiences

Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description we encourage candidates to apply. If your career is just starting hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.

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 theres nothing we cant achieve in the cloud.

Inclusive Team Culture

Here at AWS its 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 conferences inspire us to never stop embracing our uniqueness.

Mentorship and Career Growth

Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledge-sharing mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

- Bachelors degree in mathematics engineering statistics computer science or a related field or experience as a product manager or owner
- 5 years of working with Data & AI related technologies including but not limited to AI/ML GenAI Analytics Database and/or Storage experience
- Experience in a customer-facing role engaging with customer executives technologists or partners to solve business problems with advanced technologies
- Travel up to 15% of the time
- 6 years in the technology industry focused on customer success or in go-to-market roles or management consulting serving high-tech clients on go-to-market topics
- Understanding of the Software Development Life Cycle

- Masters degree or a PhD and experience building machine learning models or developing algorithms for business application
- Experience in AWS cloud computing or SaaS ideal if experience is in GenAI/AI.
- Effective at communicating complex technological solutions to diverse audiences and building strong internal and external brand presence.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

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 Companys 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 inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $138200/year in our lowest geographic market up to $239000/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 This position will remain posted until filled. Applicants should apply via our internal or external career site.