Job
Description
Leadership Strategy: Define and execute a long-term vision for Jazzx.ai s technical documentation, ensuring consistency, accuracy, and discoverability across all product lines. Champion documentation best practices and establish team workflows and standards to drive efficiency and quality. Content Architecture Management: Develop and maintain the information architecture for a broad range of content, including API references, SDK guides, onboarding materials, tutorials, FAQs, and release notes. Ensure documentation reflects the latest product capabilities, updated continuously and accurately in step with agile development cycles. Oversee the integration of documentation assets into a scalable content management system (CMS) that supports versioning, localization, and continuous delivery. Cross-Functional Collaboration: Partner closely with engineering, product management, UX design, developer relations, and customer support teams to gather insights on user needs, emerging technologies, and product roadmaps. Advocate for the end-user perspective and ensure that content aligns with user personas ranging from business users, systems administrators, systems integrators (implementation engineers), and other relevant audiences. Participate in product planning meetings, sprint reviews, and design discussions to anticipate documentation needs early in the development process. Editorial Excellence Quality Assurance: Establish style guides, editorial standards, and voice and tone guidelines that reflect the Jazzx.ai brand and maintain a consistently high level of accuracy and clarity. Oversee peer reviews and editorial cycles to ensure that all published materials are error-free, well-organized, and meet usability standards. Continuously improve the quality and relevance of documentation based on stakeholder feedback, usability tests, and analytics. Innovation Continuous Improvement: Stay current with industry trends, documentation tools, and emerging technologies that can enhance the user experience and streamline internal processes. Introduce and refine documentation workflows that leverage automation, AI-driven content generation, and analytics to predict content gaps and measure content effectiveness. Actively seek user feedback (e.g., from forums, surveys, and partner discussions) to identify areas of improvement and drive iterative enhancements to the content library. Qualifications Experience: Education Background: Bachelor s degree in Technical Communication, Computer Science, English, Journalism, or a related field. An advanced degree or specialized training in AI, ML, or related domains is a plus. Technical Expertise: 5+ years of technical writing or technical content management experience, ideally within the software industry. Prior experience in a senior or lead role managing documentation teams and complex content portfolios. Solid understanding of software development processes, APIs, SDKs, and developer tooling. Experience with AI/ML technologies is highly desirable. Tools Systems: Proficiency with industry-standard documentation tools, content management systems (e.g., MadCap Flare, DITA-based CCMS, Confluence), and version control systems (e.g., Git). Familiarity with markup languages (Markdown, reStructuredText), doc-as-code workflows, and automated testing/deployment pipelines for documentation. Soft Skills: Exceptional written and verbal communication skills, with the ability to break down complex concepts into accessible, structured, and developer-friendly content. Strong leadership qualities: ability to mentor team members, resolve conflicts, and champion change management. Excellent project management skills, including the ability to prioritize multiple initiatives, meet deadlines, and adapt to evolving business needs.
