About GitGuardian GitGuardian is a global post-Series C cybersecurity scale-up, with team members in France, Europe and in the USA. Among our early investors who saw our market value proposition, are the co-founder of GitHub, Scott Chacon, along with Solomon Hykes, Docker's co-founder. American and European top-tier VC firms have also invested in GitGuardian. GitGuardian leads the way in Non-Human Identity security, offering end-to-end solutions from secrets detection in code, productivity tools and environments to strong remediation, observability and proactive prevention of leaks. Were applying the same ambition internally by building an AI-powered operating modelusing agents, automation, and data to run GitGuardian faster and smarter every day. Our solutions are already used by more than 600K developers worldwide! About Your Team And Your Mission As our first dedicated AI 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 platformautomations, agents, and data-driven workflowsthat other teams adopt and extend. Youll sit at the crossroads of Business Process, AI Application, and Data, directly improving how GitGuardian operates at scale. Your Main Responsibilities Will Be To 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 pipelinesensuring 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 productionnot just experiments. Technical Environment Core Languages: Python, SQL AI: Dust, LangChain Automation: n8n Data Warehouse: Snowflake Orchestration & Deployment: Dagster, Kubernetes, Docker, Terraform Data Ingestion: Fivetran, Airbyte, custom scripts Data Sources: PostgreSQL, Elasticsearch, various APIs (Hubspot, Notion, etc.) About You If you think you match at least 70% of these criteria, please apply! Here's what we consider essential for success in this role: 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. The following skills would strengthen your application but aren't required: 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). The interview process At GitGuardian, we are committed to building a diverse, equitable and inclusive workforce. We will ask for your gender identity on the application page to help us understand the diversity of our applicant pool and to track our progress in attracting and hiring a diverse workforce. The information is optional and will not be disclosed to the hiring manager or the interview team and will not be considered in the hiring process. We appreciate your willingness to share this with us so that we can continue to improve our diversity, equity and inclusion efforts. Interview with your future manager To know more about yourself, your professional experiences and your motivations. Also to assess end-to-end delivery of automations/agents; stakeholder communication; pragmatic tool choice (no/low-code vs. Python); familiarity with Dust/LLM platforms. Technical interview To evaluate your skills for the position and project yourself into the role. We will assess practical automation engineering, AI agent design, and data integration. 4.1 Final interview with an Executive Manager To detail our companys vision and ambitions for the next couple of years. We will assess your product mindset, change management, and enablement of non-technical users. 4.2 References check You can start thinking about two contacts who can attest to your previous or current professional experiences. These contacts should be as recent as possible, and we will call them at the end of the process. Benefits Package that includes BSPCE Lunch voucher (Swile, 9 at 50%) Sponsored Wellpass (gymlib) 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, ...) And also... Remote policy: hybrid (3 days/week at the office) Opportunities for career development in the long term More about GitGuardian! Products Understand how GitGuardian works in this short video! Want to go even further? Check out our public roadmap! Check out the State of Secrets Sprawl Report to understand our mission and the industry. Our solutions are already used by hundreds of thousands of developers in all industries and GitGuardian platform is the n1 app on the GitHub marketplace Clients GitGuardian helps organizations find exposed sensitive information that could often lead to tens of millions of dollars in potential damage. More than 70% of our customers are in the United States. Many F500 companies use GitGuardian's platform. People The Guardians are knowledgeable, committed, serious, aligned with the companys mission, and true team players: always willing to help each other grow our skill sets! The team is diverse and we hail from more than 20 different countries. We are also agile, remote-friendly, and fun people to work with. You will get trust & autonomy on your perimeter with a very transparent internal communication and a strong impact on the company development.