Data Engineer (Growth Team)

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 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