About the role
As a Senior Technical Writer at Camunda, you’ll be embedded within product teams, taking full ownership of documentation for key areas of our platform. You’ll work side-by-side with engineers, product managers, and designers to ensure our documentation is clear, accurate, and deeply aligned with the product experience. This is a hands-on role supporting our AI products team, where you’ll become a subject matter expert, directly shaping the developer journey through high-impact content around agentic orchestration.
What You’ll Be Doing
- Own and drive the documentation for one or more product areas, acting as the embedded technical writer within the corresponding product teams.
- Work closely with engineers, product managers, and designers to stay deeply informed about the product roadmap and ensure documentation is accurate, timely, and aligned with feature development.
- Become a subject matter expert in your assigned product areas, developing hands-on experience with the products to create documentation that reflects real-world usage and developer needs.
- Lead documentation efforts from concept through release—planning, writing, reviewing, and maintaining content that empowers developers to succeed with Camunda technologies.
- Advocate for documentation as a critical part of the user experience, bringing the user’s perspective into product discussions and influencing design and implementation where appropriate.
- Continuously improve the structure, clarity, and completeness of the documentation based on analytics, user feedback, and your own insights.
- Collaborate with other writers and the broader Documentation team to share best practices, contribute to team goals, and evolve our documentation tooling and standards.
What You Bring
- 5+ years of technical writing experience (including senior or equivalent) and a strong portfolio of developer-focused content such as user guides, installation guides, API references, tutorials, and technical blog posts.
- Hands-on expertise with Java, Kubernetes, Helm, Docker, and related technologies, and a proven ability to deeply understand and use complex technical products.
- Experience with writing about AI concepts, including a good understanding of large language models (LLMs), retrieval-augmented generation (RAG), model context Protocol (MCP), and other emerging AI technologies.
- Proven ability to tailor content for diverse audiences and technical backgrounds, including software engineers, application developers, business analysts, and process owners.
- Experience with Docs-as-Code workflows and documentation frameworks such as Docusaurus, with comfort using Git and Markdown in a developer-centric environment.
- Ability and/or willingness to use our product.