Prototyping Customer Engineer, Data

Google Cloud is a leading provider of enterprise-grade cloud solutions leveraging cutting-edge technology.
Data
Staff Software Engineer
In-Person
5,000+ Employees
10+ years of experience
AI · Enterprise SaaS

Description For Prototyping Customer Engineer, Data

Google Cloud is seeking a Prototyping Customer Engineer specializing in Data to join their Asia Pacific (APAC) Solutions Prototyping Team. This role combines technical expertise in cloud computing, AI/ML, and data engineering with customer-facing responsibilities. The position requires 10 years of experience and focuses on designing and developing prototypes that demonstrate the transformative power of data, analytics, and AI solutions.

The ideal candidate will lead prototype development on Google Cloud Platform, showcasing how data and AI can address specific business challenges. They will work directly with customers to understand their needs and build practical solutions. The role involves mentoring team members and contributing to the strategic direction of prototyping efforts.

Key responsibilities include leading the design and development of data-centric and AI-powered prototypes, collaborating with customers to understand their business challenges, and staying current with emerging technologies. The position requires expertise in modern application development, DevOps practices, and programming languages like Python, particularly for GenAI applications.

This is an excellent opportunity for an experienced professional to work with cutting-edge technology at one of the world's leading tech companies. The role offers the chance to directly impact customer success while working with Google Cloud's innovative products and services. Candidates should have strong technical skills, customer-facing experience, and the ability to mentor team members.

The position is available in multiple locations across Asia, including Singapore and various cities in India. Google Cloud's mission is to accelerate digital transformation across industries, making this role crucial in demonstrating the practical applications of their technology to solve real business problems.

Last updated 3 days ago

Responsibilities For Prototyping Customer Engineer, Data

  • Lead the design, development, and iterative refinement of data-centric and AI powered prototypes on Google Cloud Platform (GCP)
  • Collaborate with customers to understand their business challenges, technical requirements, and strategic objectives
  • Mentor and guide junior team members, fostering a culture of innovation and learning
  • Contribute to the development of internal best practices and methodologies for data and AI-driven solutions
  • Stay up-to-date with emerging trends and technologies in cloud computing, data science and AI/ML

Requirements For Prototyping Customer Engineer, Data

Python
Kubernetes
  • Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience
  • 10 years of experience in cloud computing, with a focus on AI/ML, data analytics, and data engineering
  • Experience with modern application development and DevOps practices, including CI/CD, containerization (Docker, Kubernetes), and infrastructure-as-code
  • Experience in programming languages such as Python with developing and deploying GenAI models and applications
  • Experience with data analysis, data engineering, database technologies (SQL, NoSQL), and data warehousing solutions
  • Ability to analyze business problems and develop technical solutions

Interested in this job?

Jobs Related To Google Prototyping Customer Engineer, Data

Leadership Technical Program Manager, Data Analytics, Google Cloud

Leadership Technical Program Manager role at Google Cloud focusing on Data Analytics, requiring extensive experience in machine learning and project management.

Staff UX Researcher, Search

Lead UX research initiatives for Google Search, conducting user studies and providing strategic insights to improve product experience for billions of users.

Senior Data Scientist Manager, Product, LearnX

Lead data science initiatives at Google, managing analytics projects and driving data-driven decisions for product development.

Staff Data Scientist, Research, Applied Research

Staff Data Scientist position at Google, developing metrics and methodologies for Search and Commerce, requiring 8+ years experience in analytics and coding.

Senior Data Scientist, Research, Labs

Senior Data Scientist position at Google's Labs team, focusing on LLM and AI research, offering competitive salary and benefits.