Our partner is a venture-backed B2B SaaS company building a fully managed data platform for the owners of large capital construction projects. Their product sits between the project-management, financial and contractor systems these organizations already run, structures the data with a proprietary knowledge graph, and turns it into dashboards, document search, invoice review and automated workflows. Their customers are major public institutions, universities, health systems and household-name enterprises, and the business has tripled revenue over the past year on a team of roughly fifteen people. The engineering organization is being rebuilt for its next stage of scale, and this role sits at the center of that work. You will start by taking a large-scale application migration across the finish line — the team has spent months re-architecting the product so it is simpler, cheaper to maintain and far easier for modern AI tooling to reason about, and roughly ninety percent of that work is done. From there you will move into the newer half of the roadmap: an agentic automation platform built on an internal system that trains agents to run construction-specific workflows faster and more cheaply, or the data-connection layer that ingests and normalizes information from dozens of external systems. Either path is the same core skill set — orchestration, integration and data movement at real scale. You will report directly to the CTO on a small team, which means unusual visibility and a short path from decision to production.
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Job Type
Full-time
Career Level
Mid Level