Finance Systems 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, 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.

At Pigment, we are rewriting the rules of business planning. To build the future of our own product, our internal Finance team must operate like a high-performing engineering squad. We don't just execute tasks; we architect systems. As a Finance Engineer, you will sit at the crossroads of Accounting logic, Systems Architecture, and Generative AI. Reporting directly to the Head of Fin Ops, your mission is to treat the entire Finance stack as a machine: designing automated data pipelines, building production-ready apps via Pigment's Modeller Agents, and ensuring our financial infrastructure scales seamlessly as we grow.

The position is Hybrid, meaning 3x per week from the office, no remote possibilities.

1. Systems Architecture & Modeling (50%)

• Architect the Machine:
  Design, build, and optimize multidimensional models and process within Pigment for internal Accounting (P2P, QTC,R2R,..), Cash Management, and Rev Ops use cases.
• Bridge the Gap:
  Translate complex accounting policies, billing structures, and revenue recognition rules into clean, scalable, logic-based data flows.
• Tool-Agnostic Infrastructure:
  Ensure seamless data mapping between upstream systems (Zip, Navan, Salesforce) and our ERP ecosystem (Netsuite), maintaining a bulletproof "single source of truth."

2. AI Engineering & Process Automation (30%)

• Prompt Engineering & Agents:
  Leverage LLMs and Pigment's native AI capabilities to build automated reporting agents.
• Smart Automation:
  Deploy workflows (via Workflow automation tool : N8N or APIs,…) to automate month-end closing tasks, anomaly detection, and real-time cash forecasting.
• Continuous Close:
  Actively scout and test next-generation Fintech tools to move the Finance department toward a fully automated, real-time audit-ready state.

3. Governance, Support & Evolution (20%)

• Code Mentality:
  Maintain clear technical documentation, schemas, and playbooks for our finance stack—treating financial logic with the same rigor as product code.
• Cross-Functional Collaboration:
  
  Partner closely with the existing FP&A Modeler/Architect to maintain a unified data dictionary across the entire company.
• Long-term
  
  Roadmap:
  
  Support the team's evolution as we prepare to fully internalize and optimize our ERP (Net Suite) architecture in early 2027.

• Experience:
  
  3 to 6 years of experience in Fin Ops, Rev Ops, or as a Finance Business Analyst / Analytics Engineer within a fast-growing tech/SaaS company.
• The "Builder" Mindset:
  High skills in multidimensional modeling (Pigment, Power Bi,…) or a strong background in data manipulation (Advanced SQL, Python, or expert-level logic). AI-Curious:
  You understand how to prompt LLMs, use APIs, and are excited about deploying AI agents to replace repetitive human processes.
• Financial Fluency:
  You understand Accounting principles, P&L mechanics, and Cash flows. You can hold a deep conversation with our Finance team and translate their requirements into system logic.
• Education:
  
  Degree in Engineering, Data Science, MIAGE, or Business School with a heavy focus on Business Intelligence / Information Systems.
• Languages:
  
  French and English.

• Competitive…