About the job
About Gilion:
Our mission is clear: We are accelerating founders in their growth journey through our Gilion platform. As a growing product company leveraging AI, we are creating an innovative, technically challenging platform revolutionizing how businesses grow - with the key of the platform being analytics, unique AI forecasting, ultimately enabling access to financing and non-dillutive funding, - in a way never done before. Watch our platform here: gilion.com/platform
Our team is made up of experts who have been part of leading companies like Spotify, Google, King, Sinch, bringing a wealth of experience and a passion for pushing boundaries. At Gilion, youll be part of a fast-moving, dynamic environment where your work will have a tangible impact on both our product and the industry as a whole. If youre excited about working with challenging technology and making a real difference, Gilion is the place for you.
About the role:
Youll join our data team to build the backbone that powers Gilions AI-driven financial analysis. Your mission: make customer data analysis-ready and accessible to AI agents in a scalable, automated way. This means building services, data models, and integrations. Key responsibilities:
- Design, build, and maintain backend services that process and serve customer data for AI agent analysis.
- Define and implement semantic layers and metrics (e.g., lifetime value) to standardize analysis across customers.
- Collaborate with AI orchestration systems to ensure agents have the right tools (MCPs) and data for their tasks.
- Continuously refine automated analysis workflows to improve accuracy, scalability, and robustness.
- Work closely with product and engineering teams to expand data capabilities and handle new data types or sources.
- Monitor, troubleshoot, and optimize data pipelines and services.
Background/Profile:
- Experience in analytics engineering or data engineering roles.
- Backend development skills (Python or similar), with ability to build services and APIs.
- Proficiency in SQL and experience with data modeling and data warehouses.
- Understanding of data quality principles and automated data validation.
- Interest in or exposure to AI-driven data analysis - comfortable working in an environment where AI agents consume your data pipelines.
What we offer:
- Work-life balance, hybrid-remote model
- Diverse, inclusive and knowledge-sharing culture
- Experienced founders, backed by top investors
- A growth journey with tons of development opportunities
- AI product that impacts how companies grow, disrupting the industry
