Floret

Role Description We're looking for a Fullstack Engineer who can work across the product and take ownership of features from design to deployment. You'll work with a small, high-performing team on systems that process financial data for some of the fastest-growing CPG brands in the country. This is a hands-on role with a well-defined scope. You'll ship meaningful work, collaborate directly with product and design, and grow quickly in an environment where good engineering judgment gets recognized and prioritized. What You'll Do - Build features across the full stack - Design and build backend systems for data ingestion, processing, and reconciliation - Build APIs and services that power core workflows - Build frontend interfaces for financial workflows, dashboards, and investigations - Work with complex financial data - Build systems that handle structured and unstructured data at volume - Implement matching, reconciliation, and categorization logic - Write code that keeps financial records accurate and auditable - Collaborate with product and design - Partner closely with product and design throughout the build cycle - Ship polished, user-facing features - Iterate based on direct customer feedback - Contribute to AI-powered workflows - Integrate AI-driven features into existing systems and workflows - Help ensure AI-assisted tools are reliable and understandable to users Qualifications - 2-4 years of professional software engineering experience - Has shipped production features end-to-end on a real product - Background in SaaS or data-heavy products preferred - For engineers earlier in their careers, we're particularly interested in candidates who have shipped real products, tools, or meaningful side projects and who actively use AI tools as part of how they build and learn. Requirements - Solid backend experience: APIs, data modeling, working with databases - Solid frontend experience: modern JS frameworks (Vue preferred), component architecture - Some experience with software testing frameworks - Comfortable working with messy, real-world data Product Mindset - Cares about user experience, not just code quality - Can balance quality and speed in a fast-moving environment - Takes ownership and follows through Bonus Points - Experience with accounting software such as QuickBooks or NetSuite - Background in document parsing or OCR data normalization - Shipped AI-native features to production - Experience with forecasting, demand planning, or promotion analytics, particularly modeling promotion lift or building systems that help brands understand trade performance

Role Description We're looking for a Senior Fullstack Engineer who can take broad ownership across the Floret platform. You'll work across the full stack, from backend systems that process financial data to the frontend interfaces customers use every day, and you'll have a meaningful voice in how we build and evolve our systems. This is a hands-on, high-ownership role. You'll own features end-to-end, contribute to architectural decisions, and help raise the technical bar across the team. What You'll Do - Build and own features across the stack - Design and build backend systems for data ingestion, processing, and reconciliation - Build APIs and services that power core workflows - Build frontend interfaces for financial workflows, dashboards, and 3rd party integrations - Drive system quality and architecture - Contribute to architectural decisions on both the backend and frontend - Improve reliability, performance, and observability across the system - Establish patterns and practices that hold up as the team and codebase grow - Work with complex financial data - Build systems that handle large volumes of structured and unstructured data - Implement matching, reconciliation, and categorization logic - Keep financial records accurate and auditable - Ship AI-powered features - Build and integrate systems that automate categorization and help users resolve deductions - Apply sound judgment about where AI adds value versus where it introduces risk - Collaborate across product and engineering - Partner with product and design to turn ideas into scalable implementations - Contribute to code review and technical decision-making - Work directly with customers to understand problems and iterate on solutions Qualifications - 5+ years of professional software engineering experience - Track record of shipping production features end-to-end on real products - Has made meaningful technical decisions and owned their outcomes - Background in SaaS or data-heavy products preferred Requirements - Strong backend experience: APIs, data modeling, system design - Strong frontend experience: modern JS frameworks (Vue preferred), component architecture, state management - Solid testing practices across unit, integration, and end-to-end - Comfortable working with messy, high-volume real-world data Product Mindset - Builds for users, not just specs - Can simplify complex systems into usable products - Makes sound tradeoffs under time pressure and with incomplete information Bonus Points - Experience with accounting software such as QuickBooks or NetSuite - Background in document parsing or OCR data normalization - Shipped AI-native features to production - Experience with forecasting, demand planning, or promotion analytics, particularly modeling promotion lift or building systems that help brands understand trade performance