CUSTOMER ENGINEER III, AI/ML, CENTRAL, GOOGLE CLOUD
Company: Google
Location: Austin
Posted on: September 29, 2024
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Job Description:
Minimum qualifications:Bachelor's degree or equivalent practical
experience.8 years of experience as a sales engineer or technical
consultant in a cloud computing environment or in a customer-facing
role.Experience in virtualization or cloud native architectures in
a support role.Experience with big data, machine learning, and
numerical programming frameworks (e.g., TensorFlow, Python,
MATLAB).Experience using an AI platform to build, deploy, and
manage machine learning models.Preferred qualifications:Master's
degree in Computer Science or a related technical field.Experience
building machine learning solutions and leveraging specific machine
learning architectures (e.g., deep learning, LSTM, convolutional
networks).Experience architecting and developing software or
infrastructure for scalable distributed systems.Experience in data
and information management as it relates to big data trends and
issues within businesses.Ability to learn quickly, understand, and
work with new emerging technologies, methodologies, and solutions
in the cloud/IT technology space. About the job When leading
companies choose Google Cloud, it's a huge win for spreading the
power of cloud computing globally. Once educational institutions,
government agencies, and other businesses sign on to use Google
Cloud products, you come in to facilitate making their work more
productive, mobile, and collaborative. You listen and deliver what
is most helpful for the customer. You assist fellow sales Googlers
by problem-solving key technical issues for our customers. You
liaise with the product marketing management and engineering teams
to stay on top of industry trends and devise enhancements to Google
Cloud products.As a Customer Engineer, you will work with Technical
Sales teams as a machine learning subject matter expert to
differentiate Google Cloud to our customers. In this role, you will
help prospective customers and partners understand the power of
Google Cloud, explaining technical features, helping customers
design architectures, and problem-solving any potential roadblocks.
Additionally, you will have the opportunity to help customers to
leverage specialized Machine Learning (ML) hardware developed by
Google (e.g., Tensor Processing Unit). You will also work closely
with customers and product development to shape the TPU
platform.Google Cloud accelerates every organization's ability to
digitally transform its business and industry. We deliver
enterprise-grade solutions that leverage Google's cutting-edge
technology, and tools that help developers build more sustainably.
Customers in more than 200 countries and territories turn to Google
Cloud as their trusted partner to enable growth and solve their
most critical business problems.The US base salary range for this
full-time position is $142,000-$214,000 + bonus + equity +
benefits. Our salary ranges are determined by role, level, and
location. The range displayed on each job posting reflects the
minimum and maximum target salaries for the position across all US
locations. Within the range, individual pay is determined by work
location and additional factors, including job-related skills,
experience, and relevant education or training. Your recruiter can
share more about the specific salary range for your preferred
location during the hiring process. Please note that the
compensation details listed in US role postings reflect the base
salary only, and do not include bonus, equity, or benefits. Learn
more about benefits at Google. Responsibilities Work with the team
to identify and qualify business opportunities, understand key
customer technical objections and develop the strategy to resolve
technical blockers.Work with customers to demonstrate and prototype
Google Cloud product integrations in customer/partner
environments.Recommend integration strategies, enterprise
architectures, platforms and application infrastructure to
implement a complete solution using best practices on Google
Cloud.Travel to customer sites, conferences, and other related
events as needed.Provide in-depth machine learning expertise to
support the technical relationship with Google's customers
including product and solution briefings, proof-of-concept work,
and partner directly with product management to prioritize
solutions impacting customer adoption to Google Cloud. -
Keywords: Google, San Antonio , CUSTOMER ENGINEER III, AI/ML, CENTRAL, GOOGLE CLOUD, Engineering , Austin, Texas
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