Customer Engineer, AI/ML, Google Cloud
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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 frameworks for deep learning (e.g. PyTorch, Tensorflow, Jax, Ray, etc.), AI accelerators (e.g. TPUs, GPUs), model architectures (e.g. encoders, decoders, transformers) and using machine learning APIs.
- Experience with machine learning model development and deployment.
- Experience engaging with and presenting to technical stakeholders and executive leaders.
Preferred qualifications:
- Master's degree in Computer Science, Engineering, Mathematics or a technical field or equivalent practical experience.
- Experience in building machine learning solutions and leveraging specific machine learning architectures (e.g. deep learning, Load Shedding and Traffic Management (LSTM), convolutional networks).
- Experience in architecting and developing software or infrastructure for scalable, distributed systems.
- Experience in data and information management related to big data trends and issues within businesses.
- Ability to 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 serve as an AI/ML subject matter expert, collaborating with the technical Sales team to showcase the value of Google Cloud to customers. You will design innovative cloud solutions, conduct proofs-of-concept and address technical issues to meet business needs. With your expertise and presentation skills, you will help customers understand how Google Cloud can solve their issues. You will work closely with engineering teams to enhance products and drive impactful results. You will have an opportunity to contribute to a global team, fostering equal opportunities for success.
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 $147,000-$218,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. 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
- Identify business opportunities, qualify their potential, understand critical customer technical objections and develop strategies to resolve technical blockers.
- Share in-depth AI/ML expertise to support customer technical relationships, managing technology advocacy, aiding bid responses, delivering product and solution briefings, leading proof-of-concept initiatives and collaborating directly with product management to prioritize solutions that accelerate customer adoption of Google Cloud.
- Build and prototype integrations between Google Cloud products and customer or partner environments
- Recommend integration strategies, enterprise architectures, platforms and application infrastructure required to implement a complete solution on Google Cloud.
- Facilitate Google Cloud's engagement by traveling to customer sites, conferences and other related events as needed.
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Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
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