
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.
6 hours ago

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.
• Manage, mentor, and grow a team of 3-6 software engineers (mostly full-stack) • Own team delivery, velocity, and technical quality • Partner with CTO and CEO on roadmap, prioritization, and resourcing • Build hiring pipelines as the team scales • Ensuring systems of record (project tracking, code quality) continuously up-to-date • Write and review production (currently TypeScript), using spec- and test-driven development practices • Architect data engineering pipelines that ingest, clean, and transform customer data • Integrate AI codegen tools into team workflows and production systems • Contribute to our agentic data cleaning and data layering features as they evolve
• 7+ years of software engineering experience, including hands-on data engineering • Prior experience managing engineers (team lead, EM, or equivalent) • Strong product awareness and demonstrated work around customer-centricity • Production experience with public-cloud data services (AWS, Snowflake) or equivalent • Hands-on experience using CLI-forward AI codegen agents (Claude Code, Codex CLI, Aider, or similar) in production workflows • Strong opinions on how to integrate AI tooling into engineering team practices • Availability during US Eastern working hours
• Health insurance • Retirement plans • Flexible work arrangements • Professional development
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