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Pigment

SaaS platform for advanced financial reporting

Technical Content Engineer

Technical WritingConfirmed live in the last 24 hours
Full-timeParis, FranceNo salary listed

About the Job

Requirements

  • Three to five years of experience in technical writing, content strategy, or documentation engineering.
  • Strong command of authoring, hosting, and collaboration tools such as Document360, Jira, Confluence, Git, GitHub, Markdown, and Visual Studio Code.
  • Hands-on experience with docs-as-code workflows, including Git, pull requests, Markdown, and continuous-integration-based checks.
  • Practical experience using large language models in a writing workflow, including prompting, critically reviewing output, and building repeatable workflows.
  • Understanding of how to make content machine-readable and human-readable through consistent structure, self-contained sections, and clear metadata.
  • Strong editorial judgment, including verifying AI-generated content for accuracy and producing content to a standard that automation alone cannot achieve.
  • Ability to independently learn complex product functionality and translate it into clear, concise instructions for technical and non-technical audiences.
  • Verbal and written communication skills.
  • Experience using data and insights to inform content decisions and measure documentation effectiveness.
  • Ability to work across time zones and departments.
  • Professional fluency in English is required.

Responsibilities

  • Write and edit logically structured, reader-focused documentation aligned with the Style Guide, maintaining a consistent voice across help resources for human readers and AI agents.
  • Design intuitive content layouts and visual aids in the knowledge base, determining content length and structure to support comprehension and self-service, and structuring content for reliable chunking, retrieval, and citation by AI agents.
  • Explore and implement AI-driven workflows for content drafting, quality checks, and audits while applying editorial judgment.
  • Partner with Product and Engineering to improve the Documentation Agent by curating source content, writing and refining agent instructions and evaluation prompts, reviewing agent answers for accuracy, and feeding content gaps back into the knowledge base.
  • Manage documentation through Git-based workflows, including Markdown, pull requests, and automated checks for links, structure, and style, so documentation ships with product releases.
  • Build lightweight automation and AI-assisted workflows to reduce repetitive work and help Product, Engineering, and Professional Services colleagues contribute accurate documentation.
  • Explore new product functionalities and create clear, relevant use-case examples that help customers understand the value of features.
  • Collaborate with Product, Engineering, Customer Success, and Professional Services to navigate blockers, gather requirements, and ensure documentation is ready for product releases.
  • Use knowledge-base analytics and agent-performance measures, including answer accuracy and retrieval quality, to recommend improvements to the knowledge base.
  • Prioritize and organize tasks to meet deadlines and maintain focus on project goals as demands or product priorities shift.
  • Contribute to documentation standards, including AI and docs-as-code practices, and guide peers to ensure high-quality output.

Desired Qualifications

  • Experience in SaaS, EPM, or FinTech is preferred.
  • Proficiency in French is a significant advantage.
  • Scripting ability in Python or JavaScript for automation.
  • Familiarity with retrieval-augmented generation concepts, llms.txt, or MCP.
  • Experience evaluating or improving the output of an AI assistant or agent.
  • Experience with OpenAPI or generating reference documentation from source.

About the Company

Pigment

SaaS platform for advanced financial reporting

Pigment provides a SaaS FP&A platform that helps businesses create and manage advanced financial reports and forecasts. It connects data, performs large calculations, and enables team collaboration to build detailed models (HR, revenue, operating expenses, and cash flow) beyond traditional spreadsheets. It differentiates itself with a user-friendly design, strong processing power, and easy connectivity that support granular, scalable financial scenarios. Its goal is to make financial reporting and forecasting faster, more accurate, and accessible so teams save time and focus on analysis and value creation.

Company size
501-1,000
Company stage
Late Stage VC
Total funding
$646.9M
Headquarters
Paris, France
Founded
2019

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