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Google

Director, Engineering, Workspace Slides and Sites, Google Cloud

Google

Published 16 May 2026
New York, NY, USA
307K - 427K USD Annual
Full Time
27500 - 275000 people

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Role Highlights

Languages used

Key skills

Computer Science
Integrations
UX
Distributed Systems
Cloud Infrastructure
Generative AI
Storage
Machine Learning
Pivotal
Operations
Architecture

Tools, Libraries and Frameworks

GCP

Description

The role involves leading a global engineering organization responsible for a collaborative presentation platform. The individual will define and execute a technical roadmap that transitions the product toward an AI-native architecture. Responsibilities include overseeing architectural decisions that bridge local machine operations with cloud-scale infrastructure. The position requires balancing operational excellence with a consumer-first mindset to drive innovation. Furthermore, the role involves partnering with cross-functional teams and research groups to accelerate the delivery of advanced capabilities.

Required Qualifications and Skills

Candidates must possess a Bachelor’s degree in Computer Science or equivalent practical experience. A minimum of 15 years of experience in engineering leadership and managing technical projects is required. Applicants must demonstrate expertise in cloud infrastructure, storage systems, and large-scale distributed systems. The role also requires a proven track record of leading large-scale engineering organizations and working effectively across organizational boundaries.

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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