Data Engineer (Growth Team)

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, Uber, Anthropic, Snowflake or Siemens, use Pigment daily to make more informed decisions and confidently navigate any scenario.   With a team of 700+ 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.  Technical Responsibilities: • Design and build data models to transform raw data into reliable, business-ready datasets powering tools like Salesforce, HubSpot, Slack, and other internal systems. • Develop and enhance our internal web application (FastAPI/React) to enable teams to access, explore, and act on data seamlessly. • Lead the development of Newton, our in-house GTM AI intelligence layer and chatbot, built on the OpenAI Agent SDK with a modular tool-based architecture. • Conduct thorough code reviews to ensure high standards of quality, performance, security and maintainability across the codebase. • Drive architectural decisions that improve scalability, security, and system reliability while reducing complexity and technical debt. • Continuously improve engineering productivity and system stability through CI enhancements, refactoring initiatives, and thoughtful adoption of new tools and best practices. Collaborative Responsibilities: • Lead or contribute to cross-functional data and AI initiatives, partnering with GTM, RevOps, Data, Security, and other teams to identify high-impact collaboration opportunities. • Shape the team’s long-term technical vision, defining roadmap priorities and architectural evolution in alignment with broader company goals. Profile: • You have 2+ years of experience in an Engineering or Data role • Experience on prompting LLMs and knowledge of GenAI features implementation. • You have a Growth mindset and are interested in Sales/Marketing initiatives and challenges • You're able to function in a fast-paced environment, identifying and prioritizing what needs to get done without continuous direct instruction Skills: • Experienced with Python and SQL • Experience with a cloud provider. We use GCP, so experience with this one in particular is even better (Cloud Functions, BigQuery, Cloud Run, Cloud Tasks…) • Experience with Terraform (optional) • Experience with Js/React (optional) Tech Stack: • Dedicated GCP project • Python Cloud Runs • Terraformed in