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As our first dedicated AI Automation Engineer, you will be a foundational part of our data team's expansion. You will join a core team of 3 Data Engineers, and will be one of two new dedicated roles (alongside an Analytics Engineer) being added to build out our advanced data capabilities. You will be pivotal to GitGuardian's growth and success by establishing and leading our internal AI and automation function, acting as a force multiplier for the entire company. You will design, build, and deploy an internal AI platform—automations, agents, and data-driven workflows—that other teams adopt and extend. You’ll sit at the crossroads of Business Process, AI Application, and Data, directly improving how GitGuardian operates at scale.
Job Responsibility:
Design and Build Business Automations: Identify, design, and implement robust workflows connecting systems (HubSpot, Notion, Linear) to eliminate manual processes using n8n or Python
Build Internal Apps & Agents: Develop Dust-powered agents and wrap them in lightweight interfaces (simple UIs, CLIs, or chat) for self-serve usage and strong adoption
Fuel with Data: Partner with Analytics and Data Engineers to leverage trusted models and pipelines—ensuring quality, observability, and fast iteration
Strategic Partner: Proactively map processes, spot high-impact opportunities, and translate needs into scalable, user-friendly solutions
Centre of Excellence: Set paved paths, best practices, and manage our AI & Automation tooling (Dust, n8n) to enable teams to ship safely and fast
Own the Lifecycle: Discovery to production, documentation, enablement, monitoring, and iterative improvement focused on reliability, UX, and adoption
Stay at the Forefront: Bring pragmatic innovation from agentic workflows, retrieval, and evaluation into production—not just experiments
Requirements:
5+ years in a technical or solutions role (Analytics Engineering, Solutions Engineering, Data Analysis, or technical Business Ops) with a track record of production automations or tools
Python expert for APIs, data manipulation, and robust scripts/apps
Hands-on with Generative AI (Dust, RAG, agentic workflows, prompt engineering)
Pragmatic: use no/low-code (n8n/Zapier/Make) when fastest
drop to Python when it matters
Product mindset for internal tooling: intuitive interfaces, clear UX, adoption across non-technical teams
Strong stakeholder management and communication
collaborate across technical and non-technical teams
Familiar with data warehousing (Snowflake) and SQL to fuel automations
Nice to have:
Previous experience in a high-growth B2B SaaS company
Experience building lightweight internal UIs or CLIs to package automations/AI agents (e.g., simple web apps or chat interfaces)
Experience with our specific Data stack (Dagster, Fivetran/Airbyte, Metabase)
Familiarity with containerization and orchestration (Docker, Kubernetes)
What we offer:
Package that includes stock-options
Lunch voucher (Swile)
Non-charged health insurance for children (Sidecare / Generali)
Up to €300 to improve your home office set-up
Yearly holiday allowance
Referral bonus of 4000€ for any new Guardian we might hire thanks to you
Team building: monthly budget dedicated to each employee that you can spend as you wish, with colleagues (latest examples to date: Michelin star restaurant, karaoke, stand-up show, kitesurfing week-end, ...)
Opportunities for career development in the long term