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Google Architecture Technical Writer, AI/ML in Kirkland, Washington

The application window will be open until at least May 14th, 2024. This opportunity will remain online based on business needs which may be before or after the specified date.

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).

  • 1 year of experience in Machine Learning or Artificial Intelligence.

  • Experience writing for the web and with Markdown, HTML, CSS, and JavaScript.

Preferred qualifications:

  • Master's degree in writing, engineering, or scientific-related field.

  • 7 years of experience in technical writing spanning different technologies.

  • Experience researching and writing documentation for architects, developers, and IT-operations.

  • Ability to write documentation that is clear, consistent, and accurate.

  • Ability to work in a fast-paced and constantly changing environment and manage multiple projects and engaging priorities.

  • Passion for learning and documenting new technologies.

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.

As a Technical Writer in the Google Cloud Architecture Content team, you'll contribute to a wide variety of architecture use cases that simplify the process of designing, building, deploying, and managing applications on Google Cloud. You'll work with Solutions Architects, Customer Engineers, product managers, tech writers, and content strategists. You’ll have an opportunity to meet with customers to understand their pain points, delivering solutions that will have impact and long-term value. You'll be responsible for developing content in the AI/ML domain for Cloud customers.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

The US base salary range for this full-time position is $125,000-$185,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google (https://careers.google.com/benefits/) .

  • Edit, clarify, and proofread documents written by others, and coach non-writers on ways to improve their writing skills.

  • Work with a global team of engineers, product teams, content strategists, and other technical writers.

  • Collaborate with Solutions Architects and Customer Engineers to develop cross-product architecture guidance, spanning security, networking, compute, storage, and AI/ML.

  • Write technical architecture guidance, including design guides and reference architectures.

  • Contribute thought leadership, helping to improve and evolve Google Cloud architecture guidance.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCPEEOPost.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.

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