
11 - 50 employees
Founded 2022
🤖 Artificial Intelligence
☁️ SaaS
🏢 Enterprise
Artificial Intelligence • SaaS • Enterprise
Preql AI is an enterprise-focused AI data platform that automates the hardest parts of AI adoption by cleaning, reconciling, and contextualizing messy data across ERP, CRM, HR, and expense systems. Using agentic semantic modeling and continuous data-cleaning agents, it creates auditable, AI-ready pipelines and structured outputs for copilots, dashboards, and decision workflows, with enterprise-grade security, governance, and quick integrations for finance, operations, and technology teams.
🕒 October 22, 2025
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11 - 50 employees
Founded 2022
🤖 Artificial Intelligence
☁️ SaaS
🏢 Enterprise
Artificial Intelligence • SaaS • Enterprise
Preql AI is an enterprise-focused AI data platform that automates the hardest parts of AI adoption by cleaning, reconciling, and contextualizing messy data across ERP, CRM, HR, and expense systems. Using agentic semantic modeling and continuous data-cleaning agents, it creates auditable, AI-ready pipelines and structured outputs for copilots, dashboards, and decision workflows, with enterprise-grade security, governance, and quick integrations for finance, operations, and technology teams.
• 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.
• 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. • 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. • 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.
• Small, 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. • Hands-on experience with AI product development and enterprise software patterns. • Opportunity to drive leading-edge agentic AI systems for complex and critical data work.
Apply Now🕒 October 22, 2025
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