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Salary: USD 73,000 - 109,000 / annual
Braze is seeking a Technical Writer to join its Tech Writing team. This role treats documentation as infrastructure—a connected, structured body of knowledge that both developers and machines consume—rather than isolated pages.
You will work on two primary fronts: architectural and editorial. On the architectural side, you'll define the metadata, taxonomy, and contextual guidelines that power AI-assisted drafting workflows. On the editorial side, you'll become a genuine expert on Braze's platform, reviewing machine-generated prose and code samples line by line to ensure technical accuracy, edge-case behavior, and consistent voice before publication.
Key responsibilities include:
- Define and maintain metadata (YAML front matter), taxonomy, and contextual guidelines for AI-assisted drafting
- Review and verify machine-generated content for technical accuracy and voice consistency
- Write and revise API references, integration guides, and conceptual documentation in a docs-as-code environment
- Become an expert on the Braze platform and distill complex functionality into user-centric language
- Oversee and maintain the documentation GitHub repository
- Collaborate with Product Management, Engineering, Support, Customer Success, Marketing, and Implementation teams to validate platform behavior and customer integration paths
- Organize content to serve both developers mid-integration and systems retrieving context
- Ensure documentation maintains consistent voice, style, and branding across all client experiences
- Gather feedback, conduct research, and make data-driven improvements to documentation and client education
- Foster knowledge exchange across teams
Braze is a leading customer engagement platform that helps brands deliver personalized, cross-channel experiences powered by AI. The company is headquartered in New York with offices globally, including San Francisco.
REQUIREMENTS:
- 3+ years writing documentation for technical audiences (APIs, SDKs, or developer platforms) with writing samples demonstrating range and precision
- Fluent in information architecture and knowledge management
- Rigorous editor with sharp instinct for identifying subtle technical errors in well-written drafts
- Comfortable with Git, Markdown, YAML, and docs-as-code workflows
- Active, practical user of LLMs and AI tooling; understanding of where they help and where they don't
- Ability to explain technical concepts to both engineers and non-technical readers
- Curious by nature; want to understand why something works before documenting it
- Steady across multiple stakeholders; comfortable with shifting priorities
- Excellent interpersonal skills, user-centric team-player attitude, and confidence presenting work and reasoning
- Relentless advocate for user experience
