MINIMUM QUALIFICATIONS:
-
Bachelor's degree or equivalent practical experience.
-
4 years of experience with cloud native architecture in a customer-facing or
support role.
-
Experience with Machine Learning model development and deployment, frameworks
for deep learning (e.g., PyTorch, Tensorflow, Jax, Ray, etc.) and using
machine learning APIs.
-
Experience engaging with, and presenting to, technical stakeholders and
executive leaders.
-
Ability to communicate in French fluently as this is a customer-facing role
that requires interactions with local stakeholders.
PREFERRED QUALIFICATIONS:
-
Master's degree in Computer Science, Engineering, Mathematics, a technical
field, or equivalent practical experience.
-
Experience in 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.
-
Experience in building machine learning solutions and leveraging specific
machine learning architectures (e.g. deep learning, Long Short-Term Memory
(LSTM), convolutional networks).
-
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 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 also 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 the 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 also partner with
internal developing 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. You will be a part of a team of
fellow Googlers working in an environment of respect where we promote equal
opportunities to succeed.
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:
-
Work with the team to identify and qualify business opportunities, understand
key customer technical objections, and develop the strategy to resolve
technical blockers.
-
Share in-depth Artificial Intelligence and Machine Learning (AI/ML) 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.
-
Work directly with Google Cloud products to demonstrate and prototype
integrations in customer and partner environments.
-
Recommend integration strategies, enterprise architectures, platforms, and
application infrastructure required to successfully implement a complete
solution on Google Cloud.
-
Travel to customer sites, conferences, and other related events as required,
acting as a public advocate for Google Cloud.
