Data Engineer (Growth Team)

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.

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 internal web application (FastAPI/React) to enable teams to access, explore, and act on data seamlessly; Lead the development of Newton, in-house GTM AI intelligence layer and chatbot, built on the OpenAI Agent SDK with modular tool-based architecture; Conduct thorough code reviews to ensure high standards of quality, performance, security and maintainability; 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 adoption of new tools and best practices; Lead or contribute to cross-functional data and AI initiatives, partnering with GTM, RevOps, Data, Security, and other teams; Shape the team’s long-term technical vision, defining roadmap priorities and architectural evolution in alignment with broader company goals

Requirements

2+ years of experience in an Engineering or Data role; Experience on prompting LLMs and knowledge of GenAI features implementation; Growth mindset and interest in Sales/Marketing initiatives and challenges; Ability to function in a fast-paced environment, identifying and prioritizing what needs to get done without continuous direct instruction; Experience with Python and SQL; Experience with a cloud provider (GCP preferred: Cloud Functions, BigQuery, Cloud Run, Cloud Tasks)

Nice to have

Experience with GCP (preferred); Experience with Terraform (optional); Experience with Js/React (optional)

Benefits

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