Google Head of AI Documentation

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Job Details

Posted date: Jul 16, 2026

Location: Kirkland, WA

Level: Director


Description

Apply technical expertise and business judgment to set the overarching strategy for knowledge artifacts, driving the shift to a dual-interface, AI-native content infrastructure for developers and autonomous agents. Serve as a trusted peer to engineering and product leaders, effectively framing complex problems and building cross-organizational collaborations to align knowledge strategy with company goals. Design and implement robust processes that can scale rapidly to support expanding editorial needs and new product launches. Oversee freelance relationships and negotiate vendor agreements to secure specialized technical content and augmented team bandwidth as needed. Lead, develop, and inspire a high-performing team of technical writers and cultivate an environment of continuous learning where the team stays ahead of industry trends in AI-native workflows.

Technical writers plan, create, and maintain educational content as an integral part of the engineering or user experience. The content is often in the form of documentation, but may also be UI text, sample code, videos, or other educational material. Regardless of the content medium, technical writers are distinguished by their abilities to explain complex topics in a way that’s useful to their audience.

Our mission is to communicate complex technical information clearly, concisely, and accurately. We transform dense AI concepts into resources that educate, inspire, and activate our developer community, while engineering the structured knowledge required to power AI agents.

The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.

We're the driving team behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $205000 - $286000 (USD) + 25% bonus target + equity + benefits

Learn more about benefits at Google.

Qualifications

Minimum qualifications: Bachelor's degree in a relevant field (e.g., Computer Science, English, Communications), or equivalent practical experience. 15 years of experience creating content for technical audiences (e.g., developer documentation, Computer Science course material, or IT administration playbooks).

Preferred qualifications: Experience in technical writing, developer documentation, or developer relations, with experience directly managing and scaling high-performing teams. Demonstrated experience building scalable editorial processes, managing content operations, and overseeing vendor relationships. Proven track record of influencing executive leadership, framing strategic initiatives, and driving cross-functional alignment across product, engineering, and developer marketing teams. Strong background in writing for technical audiences. Familiarity with developer workflows, API documentation, SDKs, and coding agents. Deep understanding of artificial intelligence, machine learning concepts, and large language models (LLMs). Ability to comprehend and edit highly technical content related to AI architecture.

Extended Qualifications

Bachelor's degree in a relevant field (e.g., Computer Science, English, Communications), or equivalent practical experience. 15 years of experience creating content for technical audiences (e.g., developer documentation, Computer Science course material, or IT administration playbooks).



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