Documentation Project Manager

Scality; Paris; Hybride; EUR 45 000 - 65 000; Plein temps

Avantages offerts par ce poste

Hybrid work model

30% travel across France and Europe

Access to training and certification programmes

Sports and wellness programmes

Résumé du poste

Scality is looking for a talented individual to redefine technical writing for an AI-driven documentation environment. This role involves designing a system of reusable knowledge components and ensuring the accuracy of AI-generated content. You will translate documentation needs into clear requirements and lead initiatives to modernise documentation tools.

The ideal candidate possesses strong technical writing skills, project management abilities, and an understanding of code and APIs. Benefits include a hybrid work model with minimum 2 days in the Paris office and opportunities for professional growth.

Qualifications

• Experience with AI-generated content validation.
• Ability to write clear requirements and acceptance criteria.
• Hands-on experience using terminal-based agentic tools.

Responsabilités

• Design and maintain reusable knowledge components.
• Translate documentation needs into requirements for engineering teams.
• Drive modernisation initiatives for documentation tooling.

Connaissances

Fluent English language skills

Strong exposure to technical writing

Understanding of code and APIs

Frontend web development

Project management skills

User experience principles

Description du poste

About The Role

Documentation is an integral part of the product. Every user guide, release note or reference material that reaches a user reflects directly on the quality of our software. At Scality, we treat documentation with the same rigor we apply to code. This role is focused on redefining traditional technical writing for an AI‑based, code‑aware documentation environment. Instead of producing static documentation as the final output, this role will help design, test, improve, and govern a documentation system where knowledge is generated from code, structured into reusable atomic components, and assembled for different audiences, channels, and use cases. While software engineers build the underlying platforms, pipelines, and agentic workflows, this role will define what those systems need to do, evaluate whether they are doing it correctly, improve the quality of the generated knowledge, and ensure that AI‑generated or AI‑assisted documentation is accurate, useful, consistent, and safe.

Key Responsibilities

Implement the Knowledge Architecture and Content Strategy

• Design and maintain a system of atomic, reusable knowledge components that can be assembled for different personas, purposes, and media.
• Define how information should be presented based on the delivery channel.
• Define information distribution channels based on detailed persona analysis and usage patterns.
• Specify the information presentation requirements for each channel.
• Design and implement a robust content categorisation and tagging system (taxonomy) that serves both end‑users and documentation contributors.

Manage Requirements for Agentic Documentation Systems

• Translate documentation and knowledge needs into clear requirements for engineering teams building agentic documentation pipelines and delivery channels, including the construction of new delivery channels and the implementation of a content framework that enables Engineering and Customer Success teams to autonomously contribute and update documentation articles.
• Define expected behaviour for agents that generate, transform, validate, assemble, or publish documentation.
• Create acceptance criteria for agent outputs, including accuracy, completeness, clarity, traceability, tone, structure, and audience fit.
• Identify where automation is appropriate and where human review, editorial control, or governance is required.

Drive the Project Planning for the Transition From the Current Documentation Model to the Future One

• Drive modernisation initiatives for documentation tooling, publishing, and content governance.
• Continue to support legacy technical documentation production, including writing, editing, reviewing, updating, and publishing traditional documentation deliverables.

Who We Are Looking For

You Bring

• Fluent English language skills.
• Strong exposure to technical writing, developer documentation, product documentation, or technical content strategy.
• Good understanding of code, APIs, software architecture, technical workflows, and engineering discussions.
• Experience with frontend web development and styling capabilities using CSS/SCSS with practical knowledge of JavaScript/TypeScript and React to write clean, reusable layout components.
• Ability to write clear requirements, acceptance criteria, test cases, and quality standards.
• Experience reviewing, editing, testing, or validating AI‑generated or semi‑automated content.
• Strong project management skills to lead significant organisational and technical change within the documentation process.
• Must possess a strong grasp of user experience principles to design intuitive content consumption models.

Nice to Have

• Any exposure to file and object storage, as well as cloud storage solutions.
• Experience working with engineers and product teams to document complex software systems.
• Comfort working in docs‑as‑code environments, version control systems, issue trackers, and modern software development workflows.
• French fluency for day‑to‑day work in a Paris‑based team.
• Curiosity and an open‑minded attitude with a good sense of humour.

Qualifications

• Hands‑on experience using terminal‑based agentic tools.
• Experience with customer support knowledge, help centres, internal enablement, or developer portals.

Benefits

• Hybrid work model: minimum 2 days/week in our Paris office, remainder remote.
• Approximately 30% travel across France and Europe – all expenses covered.
• Access to training and professional certification programmes to support your career growth.
• Sports and wellness programmes, social responsibility initiatives, and generous benefits packages.

We may use artificial intelligence tools to support parts of the hiring process, such as reviewing applications, analysing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgement. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.