Customer Engineer, AI/ML, Google Cloud

Atlanta, GA, USA

Google

Google’s mission is to organize the world's information and make it universally accessible and useful.

View company page

Minimum qualifications:

  • Bachelor’s degree or equivalent practical experience.
  • 10 years of experience as a technical consultant, technical pre-sales engineer, enterprise architect, or in a customer-facing role.
  • Experience engaging with, and presenting to, technical stakeholders and executive leaders.

Preferred qualifications:

  • Master's degree in Computer Science or a related technical field.
  • Experience building machine learning solutions and leveraging specific machine learning architectures (e.g., deep learning, LSTM, convolutional networks, etc.).
  • Experience architecting and developing software or infrastructure for scalable, distributed systems.
  • Ability to quickly 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.

As a Customer Engineer, you will work cross-functionally to introduce Google Cloud to our customers. You will help prospective customers, existing customers, and partners understand the power of Google Cloud, develop creative cloud solutions, assist architectures to solve their business issues, and problem-solve any potential technical roadblocks.

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 $142,000-$214,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. 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 and qualify business opportunities, identify key customer technical objections, and develop a strategy to resolve technical blockers.
  • Manage the technical relationship with Google’s clients, including managing product and solution briefings, proof-of-concept work, and the coordination of additional technical resources.
  • Work with customers to demonstrate and prototype Google Cloud product integrations, guide customers through assessments of their existing legacy application environments, provide recommendations on a prioritization roadmap for application modernization, and identify applications for migration to hybrid-cloud computing models.
  • Recommend integration strategies, enterprise architectures, platforms, and application infrastructure required to implement a complete solution using best practices on Google Cloud.
  • Travel to customer sites, conferences, and other related events as needed.
Apply now Apply later
  • Share this job via
  • or

Tags: Architecture Computer Science Deep Learning Distributed Systems Engineering GCP Google Cloud LSTM Machine Learning

Perks/benefits: Career development Conferences Equity Salary bonus Signing bonus

Region: North America
Country: United States
Job stats:  0  0  0

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.