Technical Content Strategist, Search AI

Minimum qualifications:

• Bachelor's degree in a relevant field, or equivalent practical experience.
• 4 years of experience in technical writing, product documentation, or content design.

Preferred qualifications:

• Master's degree in Writing, Engineering, or a scientific-related field.
• Experience with LLM training (e.g., prompting, guidelines, goldens, etc.).
• Experience using content management systems.
• Knowledge of Python.
• Ability to communicate with engineers about technical requirements.
• Familiarity with using and managing style guides.

About the job:

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.

In Google Search, we're reimagining what it means to search for information – any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally.

The US base salary range for this full-time position is $105,000-$151,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. 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.

Responsibilities:

• Create and share coherent strategies and requirements based on product and feature goals, including prompt writing, rubric development, and guideline creation.
• Assess content to identify common issues, recommend solutions, and analyze losses to improve AI model performance.
• Collaborate with engineering teams to define and implement automated systems for both qualitative and quantitative content analysis.
• Work with Product and Operations teams to continuously enhance content development processes and improve overall content and model quality.
• Oversee complex documentation and training projects, set priorities, and proactively communicate project status, needs, and blockers to stakeholders.