Senior Software Engineer About PreqlPreql is building the AI-powered financial data platform for the modern enterprise. We're developing agentic AI workflows that help finance teams clean, transform, and structure their data without writing code. Think "Lovable.com for data pipelines" - just as website builders help users refine ideas into working apps, Preql helps users refine messy, fragmented financial data into production-ready workflows using natural language.Our customers include media companies, media networks, retailers, and manufacturers who need reliable metrics and automated reporting. The company is backed by tier 1 venture firms and previous data company founders.The RoleWe're seeking a Software Engineer to build our user-facing AI services. Working with the lead Product Manager and technical leadership, you'll make AI-powered data transformation accessible to finance teams.What You'll Build:Web applications that make AI-powered data transformation feel as simple as having a conversation while LLMs build the requisite complexity to codify the magicInteractive workflows where users can refine data cleaning through natural language feedbackIntegration interfaces for Excel, CSV, and financial systems like NetSuite and QuickBooksAudit dashboards that show transformation logic in terms finance teams understandAPI integrations that connect various financial data sources and export formatsKey Responsibilities:Build and iterate on web interfaces based on product specifications and user feedbackDevelop full-stack features from frontend UI to backend API integrationImplement integrations with financial data sources and third-party systemsCreate reporting tools and dashboards that meet enterprise audit requirementsParticipate in customer demos to understand user needs and gather technical feedbackCollaborate with technical leadership on architecture and implementation decisionsRequirementsTechnical Foundation:4+ years building production web applications with modern frameworks (Typescript, Python, etc.)Strong backend or full stack development experienceExperience with API development and third-party integrationsUnderstanding of databases, data processing, and common data formats (CSV, JSON, Excel)Experience taking products from development to production deploymentEngineering Practices:Comfortable with agile development and working from product specificationsExperience with cloud platforms (AWS, GCP, or Azure) and modern deployment practicesUnderstanding of security best practices for enterprise softwareAbility to write maintainable, well-tested code with proper documentationCollaboration Style:Comfortable working with product managers to understand requirements and user needsAbility to participate in customer conversations and translate feedback into technical solutionsExperience working with technical leadership while owning implementation detailsStrong AdvantagesNice-to-haves, but not strict requirements.Active Experimentation with LLM-based code-gen tools: Claude Code, OpenAI Codex, etc. (n.b., we understand the many, many limitations of these tools; but, also appreciate where they can save time and enable focus on more important, higher-order challenges)Data/Analytics Experience: Previous work with data processing, ETL pipelines, or analytics platformsAI/ML Integration: Experience and/or demonstrable interest in working with and deploying LLM APIs, machine learning models, or AI-powered featuresEnterprise Software: Understanding of enterprise requirements like audit trails, compliance, and securityFinancial Systems: Familiarity with accounting software, ERP systems, or financial data workflowsCustomer-Facing Experience: Background in customer demos, technical sales, or user supportWhat Makes This Role SpecialYou'll build the interface between breakthrough LLM capabilities and real business needs with customers eager to build the future with us. Working with both product and technical leadership means you can focus on creating great user experiences while learning cutting-edge AI applications.Impact: Your code directly determines whether finance teams trust and adopt AI for their critical workflowsGrowth: Opportunity to drive leading-edge agentic AI systems for complex and critical data workLearning: Hands-on experience with AI product development and enterprise software patternsTeam & CultureSmall, focused founding team where your contributions have immediate impact. Direct exposure to customer feedback, rapid iteration cycles, and well-funded runway to build something significant.You'll work closely with our Product Manager on user requirements and feature specifications, while getting technical guidance from our CTO on architecture and implementation approaches as needed.Next StepsReady to build the user experience for the future of data transformation? Send us a 50-word note introducing yourself and why this role is interesting to you. Additionally, send us examples of applications you've built, especially anything involving data tools, user workflows, or AI integrations.