Forward Deployed Engineer, Finance Solutions

Preql helps enterprises clean, unify, and govern messy internal data so it actually works for AI, analytics, and reporting. We work with large organizations navigating complex data environments and high-stakes operational workflows. Based in New York, our team comes from data infrastructure, AI, and enterprise software.

We’re a small team with little bureaucracy. Leadership expects individuals to take ownership, move quickly, and make good decisions for the company with support from their teammates. The curious do well here, are comfortable operating in ambiguity, and are willing to form opinions and act on their convictions instead of waiting for instructions.

You will sit inside customer environments, learn how a specific finance organization actually closes its books and plans its year, and build the semantic models that make that work. You will be the person who understands both a customer's GL and our platform internals well enough to get the numbers right and defend them to a controller.

This is not a support role and it is not pure services. Every deployment you run should make the next one faster. The work you do by hand in month one should be a product capability by month six. You will be the loop between what customers need and what we build.

The business outcomes for a portfolio of enterprise accounts, from kickoff through production and expansion

Semantic models for finance logic: revenue recognition, cost allocation, GL and cost center hierarchies, headcount and driver based planning

Source integration and mapping across ERPs, planning systems, and warehouses, including the reconciliation problems that surface once real data lands

Working sessions with controllers, FP&A leads, and customer data teams, translating between finance language and data models