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Sr. Worldwide Specialist – GenAI/ML, Data & AI GTM
AMAZON-HQ2 • San Francisco, California, United States | Santa Clara, California, United States | New York, New York, United States | Austin, Texas, United States | Arlington, Virginia, United States | Seattle, Washington, United States • onsite
FULL_TIME
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Job Details
Company
amazon hq2
Location
San Francisco, California, United States | Santa Clara, California, United States | New York, New York, United States | Austin, Texas, United States | Arlington, Virginia, United States | Seattle, Washington, United States
Work Type
onsite
Job Type
FULL_TIME
Posted
January 1, 1970
Description
Do you want to help define the future of Go to Market (GTM) at AWS using
generative AI? You will be part of the core worldwide GenAI Models team,
responsible for helping our customers build and deploy Generative AI (GenAI)
models to power end applications and use cases across industry verticals. You
will engage with product owners to influence product direction and help our
customers tap into new markets by utilizing GenAI along with AWS Services. You
will be working directly with GenAI model providers, Intelligent Device vendors,
around model performance evaluations, intelligent on Edge optimization,
developing demos and proof-of-concepts of GenAI end applications and use cases
with large models.
Key job responsibilities
You will help develop the industry’s best cloud-based solutions to grow the
GenAI business. Working closely with our product and field teams and partners
like ISVs and 3rd party model providers, you will help enable new capabilities
for our customers to develop and deploy GenAI workloads across Edge devices and
AWS. This involves activities like market sizing, building an opportunity
pipeline, working with customers to understand technical requirements for
proof-of-concepts (POC), creating content to train the field teams, and driving
thought-leadership.
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 GenAI and key ML use cases, as well as the
system/solution development on Edge devices. You have the technical depth to
articulate the benefits of our GenAI-related services and solutions to data
scientists, and C-Level executives. In addition, you have a good understanding
of the GenAI market trends, ecosystem, opportunities, and are passionate about
market development and evangelism. You will need to be adept at interacting,
communicating, and partnering with teams within AWS (product, solutions
architecture, sales, marketing, partners development, and professional services)
and externally with customers and AWS partners.
You will drive the development of the GTM plan for building and scaling GenAI on
AWS, interact with customers directly to understand their business problems, and
work with GenAI model providers, Edge device vendors, and our solutions
architects to help them define and implement scalable GenAI solutions to solve
them. You will also work closely with account teams and product teams to drive
model implementations and develop new solutions.
You will need to be adept at interacting, communicating and partnering with
other teams within AWS such as services teams, field solutions architecture,
sales, marketing, as well as representing your team to executive management. You
should be passionate about helping companies/partners understand best practices
for operating on AWS. You will also look for patterns and trends that can be
broadly applied across an industry segment or a set of customers that can help
accelerate innovation.
About the team
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.
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.
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.
Here at AWS, it’s in our nature to learn and be curious. Our employee-led
affinity grou
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