Job Opportunities API

About Preql Preql 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 http://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 ROLE We'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 magic - Interactive workflows where users can refine data cleaning through natural language feedback - Integration interfaces for Excel, CSV, and financial systems like NetSuite and QuickBooks - Audit dashboards that show transformation logic in terms finance teams understand - API integrations that connect various financial data sources and export formats Key Responsibilities: - Build and iterate on web interfaces based on product specifications and user feedback - Develop full-stack features from frontend UI to backend API integration - Implement integrations with financial data sources and third-party systems - Create reporting tools and dashboards that meet enterprise audit requirements - Participate in customer demos to understand user needs and gather technical feedback - Collaborate with technical leadership on architecture and implementation decisions REQUIREMENTS Technical Foundation: - 4+ years building production web applications with modern frameworks (Typescript, Python, etc.) - Strong backend or full stack development experience - Experience with API development and third-party integrations - Understanding of databases, data processing, and common data formats (CSV, JSON, Excel) - Experience taking products from development to production deployment Engineering Practices: - Comfortable with agile development and working from product specifications - Experience with cloud platforms (AWS, GCP, or Azure) and modern deployment practices - Understanding of security best practices for enterprise software - Ability to write maintainable, well-tested code with proper documentation Collaboration Style: - Comfortable working with product managers to understand requirements and user needs - Ability to participate in customer conversations and translate feedback into technical solutions - Experience working with technical leadership while owning implementation details STRONG ADVANTAGES Nice-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 platforms - AI/ML Integration: Experience and/or demonstrable interest in working with and deploying LLM APIs, machine learning models, or AI-powered features - Enterprise Software: Understanding of enterprise requirements like audit trails, compliance, and security - Financial Systems: Familiarity with accounting software, ERP systems, or financial data workflows - Customer-Facing Experience: Background in customer demos, technical sales, or user support WHAT MAKES THIS ROLE SPECIAL Y