About the Role
About PanoraPanora is building a suite of AI-powered agents for insurance brokers - a highly regulated and operationally complex industry.Our ambition is to become the AI Operating System for brokers in Europe: automating high-friction workflows while improving compliance, advisory quality, and client relationships.The product is already live with brokerage firms across France and Belgium, with AI assistants in production (quotation automation, contract comparison, coverage analysis, compliance checks, document generation…).Panora enables brokers to save hours every week, reduce analysis time by up to 70%, and focus on what truly matters: advising clients .Founded by Diane du Paty (ex-VC, operator) and Fabian Langlet (repeat founder, AI product engineer), Panora is backed by Hexa (Aircall, Spendesk, Front).We are entering a key phase of scaling and industrializing our AI platform.At Panora, AI is not a feature - it is the core product layer, deployed in real-world conditions with strong constraints on reliability, traceability, and compliance.RoleWe’re looking for a Founding Data Engineer to help build and scale the systems powering Panora’s AI products.Your work will sit at the intersection of:AI systems: LLMs, agentic workflows, evaluation pipelines, tracing and observabilityData engineering: ingestion, normalization, enrichment, extraction and document-processing pipelinesInternal datasets: building high-quality, structured insurance datasets from policies, quotes, underwriting questionnaires and business rulesProduct & backend engineering: designing robust APIs, data models and scalable services used directly in productionInsurance expertise: translating real-world insurance workflows, contract language and decision rules into usable data systemsAs the third engineering hire, you'll work directly with Fabian (CTO & Co-founder) and Jeremy (Founding Software Engineer), with strong ownership and direct impact on both product and technical direction.What to ExpectJoin an existing, large-scale codebase and quickly develop a deep understanding of the systems powering Panora.Improve, refactor and scale critical parts of the platform while contributing new capabilities where they create the most impact.You'll work with complex workflows, unstructured data and real production constraints.You'll own problems end-to-end, from AI systems and data pipelines to customer impact.Success is measured by product impact, reliability and customer outcomes.Responsibilities: Build & Improve AI ProductsDesign, ship and improve AI-powered workflows used daily by insurance brokersBuild evaluation, feedback and monitoring systems to continuously improve performanceTurn complex insurance workflows into reliable AI-powered productsBuild the Data FoundationsBuild and maintain data pipelines powering our productsProcess and structure unstructured data (contracts, emails, insurer documents)Improve the quality, reliability and observability of our systemsOwn & Scale SystemsOwn systems end-to-end: from design and implementation to deployment and monitoringContribute to architecture and key technical decisionsHelp define how AI, data and engineering scale at PanoraOur Technology StackBuilt fo