Data Engineer (Growth Team)
Pigment
· Paris
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Responsibilities
- Design and ship high-impact internal systems
- Build and maintain centralized GTM data warehouse
- Develop internal web applications
- Create orchestration workflows
- Build AI agents
Requirements
- Engineering background
- Experience with data warehouse systems
- Internal web application development
- Workflow orchestration
- AI/ML engineering interest
Skills
- Data Engineering
- Web Development
- Workflow Orchestration
- AI Engineering
- GTM Systems
Benefits
- Work with a fast-growing SaaS company
- Collaborate across Sales, Marketing, RevOps, Data, and R&D teams
- Build internal systems treated as real products
- Opportunity to work on AI agents and orchestration workflows
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, feature-rich solution, empowering 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. Industry leaders like Unilever, Snowflake, Siemens, and DPD use Pigment daily to make more informed decisions and confidently navigate any scenario.
With a team of 600+ across Paris, London, New York, Toronto, San Francisco and Austin, we've raised nearly $400M from top-tier investors and were named a Visionary in the 2024 Gartner® Magic Quadrant™ for Financial Planning Software.
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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