Data Engineer (Growth Team)

Job description

**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](http://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.](https://growthtwins.substack.com/p/ai-driven-outbound-and-gtm-use-cases) ### 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 infra - Postgresql applicative db - BigQuery datawarehouse - dbt for data transfo - Internal web app with 20+ sub apps, Python (FAST API) + React ### What You Will Get: - Competitive salary - Equity - The best health insurance with Alan Blue entirely free for you and your family - Trust and flexible working hours - Brand new offices in the heart of Paris, London, New York and, Toronto - Remote-friendly environment