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 customer's 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, you'll 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 AWS's 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
- 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
AWS 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, 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 CultureAWS 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 GrowthWe'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 BalanceWe 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, there's nothing we can't achieve.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.
Basic Qualifications:
- Japanese fluency and Business level English
- 7+ years of Go-ToMarket, 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
Preferred Qualifications:
- 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 nontechnical 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 gotomarket 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.
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 you're applying in isn't listed, please contact your Recruiting Partner.-
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