Original listing text, shown exactly as published by the company.
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…
