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Google

Head of AI Engineering, Cloud AI, Google Cloud

Google

Published 16 May 2026
Tokyo, Japan
Full Time
27500 - 275000 people

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Role Highlights

Languages used

Key skills

Machine Learning
Integrations
SME
Cloud Native
Technical Customer
AI Engineer
Full Stack
Architecture
Operations
Search
API
Security
Reliability
Infrastructure

Tools, Libraries and Frameworks

GCP

Description

The role involves leading and deploying a team of subject matter experts to provide technical and solution advice to customers. The individual will focus on accelerating workload migration and removing technical impediments for various organizations. Responsibilities include identifying business opportunities and developing strategies to resolve technical blockers. The position requires building technical sales assets to support frontline pre-sales engineers. Additionally, the role entails partnering with internal leadership to ensure product alignment with engineering and market priorities.

Required Qualifications and Skills

The role requires a Bachelor's degree or equivalent practical experience. Candidates must possess at least 10 years of experience with cloud native architecture in a customer-facing or support role. Proficiency in both English and Japanese is necessary for stakeholder communication. Furthermore, the position requires demonstrated experience in people management, team leadership, mentorship, or coaching.

Disclaimer

Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information.

About the company

Google

Size

275773

Website

goo.gle

HQ

Mountain View, US

Public/Private

Public Company

Description

At gTech's Users and Products team, innovations are focused on enhancing user engagement and solving complex customer needs through technical expertise and a deep understanding of Google's and Alphabet's broad product environments. The team acts as a bridge between Google’s users and its product teams, ensuring that user insights are integrated into product offerings which support numerous annual product launches. The newly formed Machine Learning Data Operations (MLDO) team within gUP Operations plays a critical role in delivering and tuning machine learning and GenAI data operations across Google’s product suite, leveraging extensive global vendor networks. Google's overarching goal is to create impactful products and services, with gTech playing a strategic role in bringing these solutions to fruition through technological and operational expertise.

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