Developer Relations Documentation Engineer

About the role

The organization operates in the AI observability and evaluation industry, addressing the challenge of monitoring, troubleshooting, and optimizing AI systems as generative AI reshapes various sectors. It provides a unified platform that supports AI engineers from prototype to production, enabling faster and more reliable deployment of AI applications. The company serves over 150 enterprises, including Fortune 500 firms, demonstrating significant market reach and impact.

The Developer Relations Documentation Engineer role focuses on enhancing the developer experience by managing and improving product documentation for flagship AI observability products. This position ensures documentation accuracy and usability for both human developers and AI coding agents, employing AI-driven automation to maintain and update content. The role contributes to smoother onboarding and effective use of the company’s tools, directly impacting developer adoption and satisfaction.

Responsibilities

• Maintain and update product documentation to ensure accuracy and clarity
• Develop automated systems to monitor documentation quality and detect discrepancies between code and docs
• Adapt documentation to be accessible and actionable for both human developers and AI agents
• Create and refresh tutorials, cookbooks, and demonstration repositories
• Coordinate with integration partners and external content creators to ensure accurate representation
• Facilitate a seamless onboarding experience for new users
• Collect community feedback to inform product development
• Support marketing efforts by providing technical content
• Engage with the developer community through events and online channels
• Serve as a primary contact for product-related community inquiries
• Collaborate on product feature prototyping

Requirements

• Minimum 3 years of experience in technical writing, documentation engineering, developer relations, or a technical role involving extensive writing
• Strong technical communication skills demonstrated through public-facing work
• Proficiency in engineering practices including docs-as-code workflows and CI systems
• Knowledge of large language model (LLM)-based application development
• Interest in documentation tooling for AI agents
• Self-motivated with the ability to work in a dynamic startup environment
• Availability for occasional evening and weekend in-person events locally or within travel distance