MINIMUM QUALIFICATIONS:
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Bachelor's degree or equivalent practical experience.
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6 years of experience with cloud native architecture in a customer-facing or
support role.
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Experience engaging with, and presenting to, technical stakeholders and
executive leaders.
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Experience with Machine Learning model development and deployment.
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Experience with frameworks for deep learning (e.g., PyTorch, Tensorflow, Jax,
Ray, etc.) and using machine learning APIs.
PREFERRED QUALIFICATIONS:
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Master's degree in Computer Science, Engineering, Mathematics, a technical
field, or equivalent practical experience.
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Experience in building machine learning solutions and leveraging specific
machine learning architectures (e.g., deep learning, Long Short-Term Memory
(LSTM), convolutional networks).
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Experience in developing software or infrastructure for scalable, distributed
systems.
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Experience in data and information management relating to big data trends and
issues within businesses.
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Ability to learn, 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
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 developing teams to stay on top of industry
trends and devise enhancements to Google Cloud products.
As a Technical Sales Specialist, you will partner with technical Sales teams as
a subject matter expert in Artificial Intelligence and Machine Learning (AI/ML)
to differentiate Google Cloud to our customers. You will help prospective and
existing customers and partners understand the power of Google Cloud, develop
creative cloud solutions and architectures to solve their business issues,
engage in proofs-of-concepts, and troubleshoot any technical questions and
roadblocks. You will use your expertise and presentation skills to engage with
customers to understand their business and technical requirements, and
persuasively present practical and useful solutions on Google Cloud. You will
have excellent technical, communication and organizational skills. You will
partner with internal development stakeholders to improve products and build
solutions, optimizing for results when in production and identifying innovative
ways to multiply your impact and the impact of the team as a whole.
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.
RESPONSIBILITIES:
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Work with the team to identify and qualify business opportunities, understand
key customer technical objections, and develop the strategy to resolve
technical blockers.
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Share in-depth AI/ML expertise to support the technical relationship with
customers, including technology advocacy, supporting bid responses, product
and solution briefings, proof-of-concept work, and partnering directly with
product management to prioritize solutions impacting customer adoption to
Google Cloud.
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Work directly with Google Cloud products to demonstrate and prototype
integrations in customer and partner environments.
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Recommend integration strategies, enterprise architectures, platforms, and
application infrastructure required to successfully implement a complete
solution on Google Cloud.
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Travel to customer sites, conferences, and other related events as required,
acting as a public advocate for Google Cloud.
