Sr. GTM Specialist, GenAI, Startups, WWSO Startup GTM

Amazon is hiring a Sr. GTM Specialist, GenAI, Startups, WWSO Startup GTM in New York, United States. It pays $163k-$220k a year and Level rates it ; you can apply on Level.

AI in this role

bedrock

ragfine-tuning

Do you want to help define how the next generation of startups builds with generative AI? Join the WWSO Startup team as the Sr. GTM Specialist for GenAI and own how GenAI native startups across North America discover, adopt, and scale on Bedrock, the fully managed service for building with leading foundation models, agents, knowledge bases, and guardrails.

The Worldwide Specialist Organization (WWSO) works 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. In emerging areas, we are the "first in" teams that build markets for new services. On the Startup team, you will 1/ be the best storyteller and technologist for Bedrock in the startup ecosystem, 2/ work with the most promising startups from seed through hypergrowth, 3/ scale GenAI knowledge through sales plays, programs, VCs, accelerators, and the AWS startup field, and 4/ bring critical startup feedback to the GenAI product and model provider roadmaps.

You bring the business savvy, GenAI domain expertise, and technical depth to articulate the value of GenAI to founders, ML engineers, and C level executives alike.

Key job responsibilities
- Own the startup GTM strategy for GenAI across North America, including market sizing, sales plays, and pipeline goals, orchestrating Sales, Solutions Architects, Partners, and Marketing.
- Engage founders, CTOs, and engineering leaders to move Bedrock/GenAI workloads from proof of concept to production, land lighthouse customers, and drive revenue.
- Advise startups on model selection, retrieval augmented generation, agents, fine tuning, and inference cost tradeoffs.
- Work closely with foundation model providers on GenAI to build joint GTM and co selling motions for startups.
- Partner with the WWSO Startup Specialist SA team on demos, POCs, and reference architectures for high priority customers.
- Build best in class field enablement and scalable programs with VCs, accelerators, and AWS Activate.
- Bring market signals to GenAI product teams, and own reporting on GTM execution to AWS leadership.
- Represent AWS as a thought leader at startup and industry events.

A day in the life
You might start with a technical deep dive for a Series B founder choosing models for a new agent, then plan a POC with the account team and a Specialist SA. In the afternoon you could sync with a model provider on a joint campaign, review pipeline, and share field signals with the Bedrock product team. Your customers are founders and engineering leaders at GenAI native startups, and your partners are account managers, solutions architects, VCs, and model providers.

About the team
The WWSO Startup team helps startups scale quickly and cost effectively on AWS. As part of AWS Sales, Marketing, and Global Services, we are technology specialists who build go to market plans for the newest AWS services. Our SUP NAMER team covers GenAI, data, and AI for North America startups, working with startup account teams, Specialist SAs, the VC and accelerator community, Bedrock product teams, and model providers. We value curiosity, ownership, and working across AWS as #OneTeam.

About AWS
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

- 6+ years of Go-To-Market, Business Development, Sales, or Consulting experience
- 5+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
- Experience designing and executing joint marketing plans with strategic alliance partners with global footprint
- Bachelor's degree or equivalent
- 5+ years of working with Data & AI related technologies, including, but not limited to, AI/ML (Artificial Intelligence/Machine Learning), GenAI (Generative AI), Analytics, Database, and/or Storage experience

Preferred qualifications

- Experience explaining complex technical concepts to various business and technical audiences
- 5+ years of prior work in business development, sales, or sales-engineering, preferably in the technology, internet and e-commerce sectors experience

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 Company’s 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 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.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, CA, San Francisco - 162,700.00 - 220,200.00 USD annually
USA, NY, New York - 162,700.00 - 220,200.00 USD annually

How we rate this

Sr. GTM Specialist, GenAI, Startups, WWSO Startup GTM at Amazon rates 66 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. GTM Specialist, GenAI, Startups, WWSO Startup GTM is an open job at Amazon.
Level rates this role AI Level 3 of 4: Works on AI.
The listed salary is $163k-$220k a year.
The role is based in US, NY, New York.
The job was posted on October 12, 2026.
Seniority: senior.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

RAGFine-tuningBedrock

Questions you could be asked

How would you design a retrieval step so the model answers from real data instead of guessing?
Walk me through fine-tuning a model: what data did you use, and how did you check the result?
What are the limits of Bedrock that you've run into, and how did you work around them?
Describe a typical day in a role like this one: which parts run through AI directly?
If you removed AI from this role, what would be left, and how do you decide what still needs a human?

Adapt your resume

List these exact terms on your resume: RAG, Fine-tuning, and Bedrock. 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.

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