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
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.
In this role, you will partner with technical Business 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 cloud solutions 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 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 Artificial Intelligence/Machine Learning (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 with product management to prioritize solutions
impacting customer adoption to Google Cloud.
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Work with Google Cloud products to demonstrate and prototype integrations in
customer and partner environments.
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Recommend integration strategies, platforms, and application infrastructure
required to implement a complete solution on Google Cloud.
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Travel to customer sites, conferences, and other related events as required,
act as a public advocate for Google Cloud.
