Customer Engineer, Data Analytics and Artificial Intelligence

Google Cloud Platform is seeking a Customer Engineer specializing in Data Analytics and Artificial Intelligence to join their dynamic team. This role combines technical expertise with customer-facing responsibilities, requiring a deep understanding of cloud computing, data analytics, and machine learning technologies. The ideal candidate will have 10 years of experience in cloud native architecture and extensive knowledge of Big Data technologies.

As a Customer Engineer, you'll work at the intersection of technical sales and solution architecture, helping customers understand and implement Google Cloud solutions. You'll be responsible for technical discovery, solution architecture, and demonstrating the value of Google Cloud's data and AI capabilities. The role involves working closely with both technical teams and executive stakeholders, requiring excellent communication and presentation skills.

The position offers the opportunity to work with cutting-edge technology in data analytics and AI/ML, including frameworks like PyTorch, TensorFlow, and JAX. You'll be part of Google Cloud's mission to accelerate digital transformation across industries, working with customers in over 200 countries and territories.

Key responsibilities include architecting client solutions, conducting proof-of-concept work, and partnering with product management to drive customer adoption. You'll also play a crucial role in identifying and resolving technical blockers, while contributing to the broader success of the Google Cloud Platform team.

This role is ideal for someone who combines deep technical knowledge with strong business acumen, enjoys working directly with customers, and wants to be part of shaping the future of cloud computing, data analytics, and AI solutions. You'll have the opportunity to work on complex technical challenges while driving business impact at a global scale.