Sr. Go-To-Market Specialist, GenAI Machine Learning, AWS

Are you a customer-obsessed builder with a passion for helping customers achieve their full potential through Generative AI and Machine Learning Do you have the business savvy technical background and sales skills necessary to drive adoption of AI/ML technologies Do you love building new strategic and data-driven businesses Join the Worldwide Specialist Organization (WWSO) Data and AI team as a GTM Specialist leading the GenAI/ML Domain for Japan!

The Worldwide Specialist Organization (WWSO) is part of AWS Sales Marketing and Global Services (SMGS) which 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. We work backwards from our customers most complex and business critical problems to build and execute go-to-market plans that turn AWS ideas into multi-billion-dollar businesses. WWSO teams include business development specialist and technical solutions architecture. As part of WWSO youll provide expertise across the entire life cycle of an AWS customer initiative from developing ideas for new services to accelerating the adoption of established businesses. We pride ourselves on thinking big delivering results for our customers and working across AWS as #OneTeam.

In this role you will help customers in Japan leverage Amazon Bedrock Amazon SageMaker and other AWS AI/ML services to transform their businesses. You will work with enterprise customers across industries to identify use cases develop scalable adoption patterns and drive the growth of AWSs GenAI/ML business in Japan.


Key job responsibilities
- Own the GTM strategy and execution for the GenAI/ML Domain in Japan collaborating with Sales Partners Marketing and other Specialists
- Leverage your expertise in Generative AI and Machine Learning to understand customer problems and enable field teams to solve them
- Drive adoption of AWS GenAI/ML services by identifying use cases and converting them into scalable repeatable motions
- Lead cross-functional initiatives to expand markets develop programs and identify new opportunities
- Develop and execute goals to drive long term growth while meeting revenue and non-revenue KPIs
- Bring customer data and market signals back to Worldwide teams to inform product priorities
- Deliver monthly/quarterly business reviews and operational planning documents
- Drive scale through external partners and cross-functional collaboration across Sales Solution Architecture Marketing Partners and Training



A day in the life
Diverse Experiences
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About the team
This position is part of the Amazon 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.

- Japanese fluency and Business level English
- 7 years of Go-To-Market Business Development Sales or Consulting experience
- 5 years of working with Data & AI related technologies including but not limited to AI/ML GenAI Analytics or Database experience

- Experience with AWS AI/ML services such as Amazon Bedrock Amazon SageMaker or other AWS data and analytics services
- Exceptional interpersonal and communication (both written and verbal) skills with experience communicating to technical and non-technical audiences.
- Established track record of credibility as a technology advisor with customer executives (e.g. CEO COO CIO CTO CMO) and Line of Business Leaders.
- Experience and success in negotiating complex deals with customers and partners.
- Experience in a heavily matrixed sales environment including developing implementing managing and executing go-to-market growth initiatives and sales motions.
- Deep understanding of cloud technologies including public and hybrid cloud platforms.
- Technical background in engineering computer science or MIS a plus.

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