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Data Engineer (Growth Team)

Pigment

ParisFull-time

The advert

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. What You’ll Do: We’re looking for a talented engineer to join Pigment’s Growth team. We operate as a Product Team inside the Revenue organization, focused on building GTM systems rather than just looking for the next growth hack. Our small team designs and ships high-impact internal systems used by 100+ internal users every week. We build and maintain a centralized GTM data warehouse, internal web applications, orchestration workflows, and AI agents. These systems are treated like real products - with users (internal teams), adoption metrics, feedback loops, and continuous iteration. It’s also a unique opportunity to collaborate with amazing brains across Sales and Marketing as end users, RevOps and Data team as key stakeholders for everything systems and data governance, and even our R&D team on AI engineering. To give you an idea of projects we built, you can check this article here.

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