Since 2006 Amazon Web Services has been the worlds most comprehensive and broadly adopted cloud. AWS has been continually expanding its services to support virtually any workload and it now has more than 240 fully featured services for compute storage databases networking analytics machine learning and artificial intelligence (AI) Internet of Things (IoT) mobile security hybrid media and application development deployment and management from 105 Availability Zones within 33 geographic regions with announced plans for 18 more Availability Zones and 6 more AWS Regions in Malaysia Mexico New Zealand the Kingdom of Saudi Arabia Thailand. Millions of customersincluding the fastest-growing startups largest enterprises and leading government agenciestrust AWS to power their infrastructure become more agile and lower costs. To learn more about AWS visit .
AWS Global Sales drives adoption of the AWS cloud worldwide enabling customers of all sizes to innovate and expand in the cloud. Our team empowers every customer to grow by providing tailored service unmatched technology and consistent support. We dive deep to understand each customers unique challenges then craft innovative solutions that accelerate their success. This customer-first approach is how we built the worlds most adopted cloud platform. Join us and help us grow.
We are seeking an AI GTM specialist who will drive & own partner GenAI related LARR.
Key job responsibilities
* Drive & own partner GenAI related LARR;
* Develop GenAI partner capabilities Map to facilitate the partner selections of GenAI opportunities;
* Develop partner play strategy and mechanisms for GenAI related business incl. GPU/LLM resell AWS services and tools adoptions and resell incl. Kiro/AgentCore/QuickSuite etc. Partner GenAI solutions and applications build & GTM;
* Enable partner GenAI capabilities with support from SSO PSA etc. and drive partner Competency obtainment.
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 hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.
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.
Inclusive Team Culture
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger more collaborative teams. Our continual innovation is fueled by the bold ideas fresh perspectives and passionate voices our teams bring to everything we do.
Mentorship & 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.
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.
- 3 years of business development partnership management or sourcing new business experience
- 3 years of working with Core Cloud Technology Services including but not limited to Compute Edge Hybrid Security and/or Networking experience
- 3 years of Go-To-Market Business Development Sales or Consulting experience
- 3 years of working with Data & AI related technologies including but not limited to AI/ML GenAI Analytics Database and/or Storage experience
- Bachelors degree or above in mechanical engineering electrical engineering material science physics or equivalent or experience in defining and creating benchmarks for assessing GenAI model performance
- Masters degree or equivalent
- Experience communicating clearly and concisely with leadership stakeholders and cross-functional teams
- Experience assessing portfolio opportunity to make the appropriate long term strategic investments while maintaining the short-term delivery of leads
- Experience collaborating with cross-functional teams
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