Senior Technical Writer/Content Designer, Google Workspace Services
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Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 6 years of experience creating content for technical audiences (e.g., developer documentation, Computer Science course material, or IT administration playbooks).
- Experience writing in HTML or Markdown.
Preferred qualifications:
- Experience with AI writing tools (e.g., Gemini, 3rd-party tools), with an interest in AI-assisted workflows.
- Ability to initiate, plan, and execute on multiple projects simultaneously, with experience researching and writing content.
- Ability to switch between UX writing and Help Center writing, and defining the interplay between content surfaces.
- Excellent attention to detail, with the ability to work in a fast-paced, constantly-changing environment.
- Excellent communication and web development skills (e.g., HTML, CSS, Javascript) to collaborate with team’s tech lead and develop AI and automation tooling for content creation, production, and analysis workflows.
About the job
Technical writers communicate complex information clearly, concisely and accurately, and without relying on jargon. As a technical writer, your role involves tasks such as writing conceptual overviews and procedures, reading and writing example code, or updating help center queries and FAQs. Technical writers play a big part at Google. They are a key link between developers, marketing associates, developer advocates, as well as all the external users and developers, tying together many vital but disparate parts of the Google ecosystem.
You develop complex, in-depth communications for internal and external audiences and manage projects that involve coordinating multiple junior writers.
Responsibilities
- Research, design, and implement clear, concise content strategies that support admins as they adopt and navigate the complexities of Google Workspace.
- Partner with UX, product managers, marketing, and engineering teams to craft holistic content narratives that support the business need.
- Develop knowledge of technical CUJs and product details, and anticipate the users’ information needs.
- Leverage AI to scale efficiency and quality.
- Access test accounts to validate feature functionality and UI, and maintain and optimize content experience based on customer feedback, usage data, and bug reports.
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