Technical Content Strategist, Search AI

Google • New York, NY

2d • $105,000 - $151,000

About The Position

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. As a Technical Content Strategist, you’ll be responsible for developing the direction and managing the quality of content to train AI Mode and AI Overviews. You’ll collaborate closely with Engineering, Product Management, Program Management, UX Research, User Experience Content Design, and Operations teams to guide content projects and optimize for quality. You will apply your editorial expertise to prompts, rubrics, data, guidelines, and autoraters. 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.

Requirements

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

Nice To Haves

• 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.

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.

Benefits

• bonus
• equity
• benefits

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees