Customer Engineer, Cloud AI, Financial Services, Google Cloud

MINIMUM QUALIFICATIONS:

* Bachelor's degree or equivalent practical experience.

* 10 years of experience with cloud native architecture in a customer-facing or

support role.

* Experience with cloud engineering, on-premise engineering, virtualization, or

containerization platforms.

* Experience engaging with, or presenting to, technical stakeholders or

executive leaders.

* Experience in programming languages, debugging, systems design, prototyping,

demos, or customer workshops.

PREFERRED QUALIFICATIONS:

* Master's degree in Computer Science, Engineering, Mathematics, a related

technical field, or equivalent practical experience.

* Experience in building machine learning solutions and leveraging specific

machine learning architectures (e.g., deep learning, long short-term memory

(LSTM), convolutional networks).

* Experience in architecting and developing software or infrastructure for

scalable, distributed systems.

* Experience with frameworks for deep learning (e.g., PyTorch, Tensorflow

etc.), AI accelerators (e.g., TPUs), model architectures (e.g., encoders,

decoders), or using machine learning APIs.

* Experience working within financial services industry.

ABOUT THE JOB:

The Google Cloud Platform team helps customers transform and build what's next

for their business — all with technology built in the cloud. Our products are

developed for security, reliability and scalability, running the full stack from

infrastructure to applications to devices and hardware. Our teams are dedicated

to helping our customers — developers, small and large businesses, educational

institutions and government agencies — see the benefits of our technology come

to life. As part of an entrepreneurial team in this rapidly growing business,

you will play a key role in understanding the needs of our customers and help

shape the future of businesses of all sizes use technology to connect with

customers, employees and partners.

As a Customer Engineer (CE) with a specialty in Cloud AI, Financial Services,

you will partner with technical sales teams to differentiate Google Cloud to our

customers. You will serve as a technical expert responsible for accelerating

technical wins and adoption of complex, specialized workloads. You will leverage

your expertise in our product areas, in partnership with Platform CEs, to be

writing code to developing prototypes, proofs-of-concept, and demos to promote

new, highly specialized solutions to customers. You will solve AI-centered

customer issues and provide a critical feedback loop to influence product

development.

You will have excellent organizational, communication, and presentation skills,

engaging with customers to understand their business and technical requirements,

and persuasively present practical and useful solutions on Google Cloud. You

will blend sales prowess, market knowledge, and technical engagement to show the

value of the Google Cloud portfolio.

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.Individual pay is determined by factors including job-related

skills, experience, and relevant education or training.

US: $152000 - $222000 (USD) + 42.86% bonus target + equity + benefits

Learn more about benefits at Google

[https://www.google.com/about/careers/applications/benefits/].

RESPONSIBILITIES:

* Drive the technical win for workloads within Cloud AI to ensure rapid and

successful adoption, primarily supporting the sales cycle from technical

evaluation through customer ramp.

* Combine sales strategies and development and prototyping to provide

functional, customer-tailored solutions that secure buy-in from customer

domain experts.

* Provide technical consultation to customers, acting as a technical advisor

and building lasting customer relationships.

* Leverage learnings from customer engagements to contribute to reusable

solutions and assets with the Go-To-Market team.

* Work within Product and Engineering management systems to document,

prioritize and drive resolution of customer feature requests and issues.