Technical Content Engineer

Join Pigment: The AI Platform Redefining Business Planning Pigment is the AI-powered business planning and performance management platform built for agility and scale. We connect people, data, and processes in one intuitive platform, with AI agents that work alongside every team, from Finance to HR, to build, adapt, and align strategic plans in real time. Founded in 2019, Pigment is one of the fastest-growing SaaS companies globally, passing $100M in ARR in 2026 and doubling revenue for the second year in a row. Industry leaders like Unilever, Uber, Anthropic, Snowflake, and Siemens use Pigment every day to make better-informed decisions and navigate any scenario with confidence. In October 2026, we raised a $250M Series E at a $2.3B valuation, bringing our total funding to $650M+. Today we’re a growing team of 700+ across Paris, London, New York, Toronto, San Francisco, and Austin, and we’ve been named a Visionary in the Gartner® Magic Quadrant™ for Financial Planning Software two years running. At Pigment, we take smart risks, celebrate bold ideas, and challenge the status quo - all while working as one team. If you’re driven by innovation and ready to make an impact at scale, we’d love to hear from you. We are seeking an experienced Technical Content Engineer to join our Customer and Product Education team. In this role, you will be the architect of our technical narrative and the systems behind it, ensuring our customers and the AI agents that increasingly serve them have the right information at the exact moment it's needed. You'll go beyond writing "how-to" articles; you will design and organize a logic-driven knowledge base that serves two audiences, our customers and AI agents (including the Documentation Agent in the Pigment platform), and you'll own the quality of content for both. Working at the intersection of Product and Customer Experience, you'll partner with subject matter experts to translate high-level product updates, including Pigment's native AI capabilities that allow users to build models simply by speaking their intent, into clear, concise, and discoverable content that drives self-service and empowers our users to master the platform independently. You'll also help shape how documentation is created and maintained, building AI-assisted, docs-as-code workflows that connect our knowledge base, our product specs, and our platform.