Associate Customer Engineer, GenAI, Google Cloud

1 Month ago • 1 Years + • Artificial Intelligence • Undisclosed

About the job

Job Description

As an Associate Customer Engineer, GenAI, you'll work with Google Cloud's sales team to identify and qualify business opportunities, addressing customer technical objections. You'll provide in-depth machine learning expertise, conduct product briefings, handle proof-of-concept work, and collaborate with product management. Responsibilities include demonstrating Google Cloud product integrations, recommending integration strategies and architectures, and using best practices for cloud solutions. You'll help transform customer businesses using AI products and cloud infrastructure, working closely with internal and external stakeholders in English and Japanese.
Must have:
  • Bachelor's degree in CS/related field or equivalent experience
  • 1 year experience building/leveraging ML solutions
  • Fluency in English and Japanese
  • Support sales team, resolve technical blockers
  • Provide ML expertise to customers
Good to have:
  • Master's degree in CS/related field
  • Experience with LLMs and Generative AI
  • Technical presentation/public speaking experience
  • Experience with PyTorch, TensorFlow, Scikit-learn
  • Experience with Jupyter notebooks

Minimum qualifications:

  • Bachelor's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience.
  • 1 year of experience building or leveraging machine learning solutions and developing applications utilizing AI frameworks and methods.
  • Ability to communicate in English and Japanese fluently to work with internal and external stakeholders.

Preferred qualifications:

  • Master's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience.
  • Experience in performing technical presentations or public speaking.
  • Experience in Large Language models (LLMs) and Generative AI.
  • Experience with technical sales in the field of cloud computing, data, information lifecycle management, and Big Data.
  • Experience with PyTorch, TensorFlow, Scitkit and other deep learning frameworks.
  • Experience using collaborative notebook-based workflows (e.g. Jupyter) for prototyping and knowledge sharing.

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.

The Google Cloud Platform team helps customers transform and innovate their business through the use of Google’s global network, web-scale data centers and software infrastructure. The Google Data Cloud team’s mission is to accelerate every organization’s ability to digitally transform and reimagine their business through data-powered innovation.

In this role, you will work with technical Sales teams as an enterprise hybrid cloud subject matter expert. You will help prospective customers and partners understand Google Cloud by translating technical value to business value, demonstrating technical features, helping customers design architectures, engage in proof-of- concepts, and troubleshoot potential roadblocks related to analytics workloads and projects. You will craft the goal to transform customer business with AI products, technologies, and cloud infrastructure.

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 Sales team to identify and qualify business opportunities, understand key customer technical objections and develop the strategy to resolve technical blockers.
  • Provide in-depth machine learning expertise to support the technical relationship with Google’s customers, including product and solution briefings, proof-of-concept work, and partner directly with product management to prioritize solutions impacting customer adoption to Google Cloud. 
  • Work with customers to demonstrate and prototype Google Cloud product integrations in customer/partner environments.
  • Recommend integration strategies, enterprise architectures, platforms and application infrastructure required to complete solution using best practices on Google Cloud.  
View Full Job Description

Add your resume

80%

Upload your resume, increase your shortlisting chances by 80%

About The Company

A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.

Dublin, County Dublin, Ireland (On-Site)

Hyderabad, Telangana, India (On-Site)

Mexico City, Mexico City, Mexico (On-Site)

New Taipei, New Taipei City, Taiwan (On-Site)

New York, New York, United States (On-Site)

Zürich, Zurich, Switzerland (On-Site)

Bengaluru, Karnataka, India (On-Site)

View All Jobs

Get notified when new jobs are added by Google

Similar Jobs

Get notifed when new similar jobs are uploaded

Similar Skill Jobs

Microsoft - Senior Site Reliability Engineer

Microsoft, United States (Remote)

Sphere Entertainment Co - Director Production Technology Innovation

Sphere Entertainment Co, United States (On-Site)

Rackspace Technology - Presales Data Science Architect – AWS Cloud

Rackspace Technology, Mexico (On-Site)

Meta - Software Engineer, Machine Learning

Meta, United States (On-Site)

Codvoai - Data Scientist (Remote)

Codvoai, India (Remote)

Arrise Solutions (India)   - Lead ML Engineer

Arrise Solutions (India) , India (On-Site)

Get notifed when new similar jobs are uploaded

Artificial Intelligence Jobs

Get notifed when new similar jobs are uploaded