Sr. Specialist, GenAI, Frontier Models GTM

Amazon is hiring a Sr. Specialist, GenAI, Frontier Models GTM in Tokyo, Japan. Level rates it ; you can apply on Level.

AI in this role

Drive go-to-market strategies and customer adoption for AWS generative AI model training and inference workloads.

sagemakerawsgpuscontainersgenai-infrastructure

generative-aigo-to-marketlarge-scale-trainingdistributed-training

Do you want to help define the future of Go to Market (GTM) at AWS using generative AI (GenAI)? You will be part of the core worldwide GenAI Training and Inference team, responsible for defining, building, and deploying targeted strategies to accelerate customer adoption of our services and solutions across industry verticals. You will be working directly with the most important customers (across segments) in the GenAI model training and inference space helping them adopt and scale large-scale workloads (e.g., frontier models) on AWS, developing GTM plans, external/internal evangelism, and developing demos and proof-of-concepts.

Key job responsibilities
In this role, you will work closely with customers to understand the AI training requirements, complexities involved in scaling model training across modalities and use-cases that take advantage of the power of AWS’ storage, compute, networking, and AI technologies.

You will have the opportunity to define GTM strategies and lead cross-functional initiatives to expand existing markets, develop scalable programs to drive adoption, and identify new opportunities. This involves activities include market sizing, building an opportunity pipeline, working with customers to understand technical requirements for proof-of-concepts, creating content to train the field teams, driving industry thought-leadership, working with product teams to define new features, and identifying partners and potential acquisitions.

As the ideal candidate, you possess a business and technology background that enables you to lead and drive engagements with startups and large enterprises. You have domain expertise in key use cases, model learning techniques, GPUs,large scale distributed training and inference challenges, orchestrating workloads using containers/GenAI Infra services, and are able to work backwards from customer requirements to suggest scalable solutions and architectures. You have the technical depth to articulate the benefits of AWS services to data scientists, data engineers, and C-Level executives. In addition, you have a good understanding of the GenAI market trends, ecosystem, opportunities, and are passionate about market development. You will need to be adept at interacting, communicating, and partnering with teams within AWS (product, solutions architecture, sales, marketing, and professional services) and externally with customers, partners, and key open-source offerings.

You will be responsible for creating compelling content, and building scalable programs and mechanisms to increase awareness and adoption of AWS GenAI infrastructure services. Additionally, you will work with the AWS SageMaker and EC2 product teams to shape product vision and prioritize features. A keen sense of ownership, drive, and being scrappy is a must.

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 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 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 in the cloud.

Basic qualifications

- Bachelor's degree
- Experience in developing, negotiating and executing business agreements
- Experience in a professional field or military
- Experience developing strategies that influence leadership decisions at the organizational level
- Experience managing programs across cross functional teams, building processes and coordinating release schedules

Preferred qualifications

- MBA
- Experience communicating clearly and concisely with leadership, stakeholders, and cross-functional teams
- Experience working with GenAI infrastructure, GPUs, Kubernetes, Slurm, AI models, part of startups working on GenAI models across modalities.
- Experience in pre-sales engineering, technical business development, strategic partnerships, or program/product management experience.
- Experience with cloud computing and or related fields.
- Strong verbal and written communications skills and ability to lead effectively across organizations.

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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

How we rate this

Sr. Specialist, GenAI, Frontier Models GTM at Amazon rates 70 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Key facts

Sr. Specialist, GenAI, Frontier Models GTM is an open job at Amazon.
Level rates this role AI Level 3 of 4: Works on AI.
The role is based in JP, 13, Tokyo.
The job was posted on September 30, 2026.
Seniority: senior.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Generative AIGo To MarketLarge Scale TrainingDistributed TrainingSagemakerAWSGpusContainers

Questions you could be asked

Tell me about a project where generative ai was part of your work. What did you do?
Tell me about a project where go to market was part of your work. What did you do?
Tell me about a project where large scale training was part of your work. What did you do?
Tell me about a project where distributed training was part of your work. What did you do?
Walk me through how you've used Sagemaker in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Generative AI, Go To Market, Large Scale Training, Distributed Training, and Sagemaker. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

Want an expert to read your CV for this job?

Free. Send your CV and the role you want next. We reply by email within 2 to 4 business days.

Get a free CV review Check your resume with the ATS resume checker

Get new sales jobs (Works on AI ●●●○ or higher) by email

One email a week with the new sales jobs (Works on AI ●●●○ or higher), each rated for how much AI is in the work. No recruiter spam, unsubscribe in one click.

Free. One email a week. Unsubscribe in one click.