Cloud Client Engineer - ML/Data Solutions

Google; Nashville (TN); Remote; USD 78,500 - 113,000; Full time

Job summary

Google Cloud Platform in Nashville seeks a Customer Service Engineer to help clients design scalable ML-ready architectures and adopt Google's cloud solutions.

You will work with technical sales, run proofs-of-concept, and collaborate with product teams to tailor deployments using TensorFlow and other tools, with travel to client sites as needed.

This full-time role offers a competitive salary in the U.S. and comprehensive benefits.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 4 years of experience as an engineer or technical consultant in a cloud computing environment or in a client-facing role.
• Strong interest in virtualization or cloud-native architectures.
• Experience with large datasets and frameworks (TensorFlow, Python, MATLAB).

Responsibilities

• Collaborate with the team to identify and qualify enterprise opportunities, recognize key technical objections, and expand strategies to address technical blockers.
• Perform in-depth system analysis to support technical sales with Google Cloud’s capabilities, product briefings, and proof-of-concept work.
• Partner with product management to prioritize solutions that impact customer adoption of Google Cloud.
• Engage with customers to demonstrate and prototype Google Cloud product integrations in proprietary or partner environments.
• Recommend integration strategies, organizational architectures, systems design, and infrastructure required to effectively implement solutions using best practices on Google Cloud.
• Travel to customer sites, meetings, and related events as needed.

Education

Bachelor's degree

Master’s degree in computer science or related technical area

Tools

TensorFlow

Python

MATLAB

Job description

Google Cloud Platform in Nashville seeks a Customer Service Engineer to help clients design scalable ML-ready architectures and adopt Google's cloud solutions.

You will work with technical sales, run proofs-of-concept, and collaborate with product teams to tailor deployments using TensorFlow and other tools, with travel to client sites as needed.

This full-time role offers a competitive salary in the U.S. and comprehensive benefits.