Director, Engineering - Title Automation - Remote
Core
Lead a distributed engineering organization to own the strategy, architecture, and delivery of AI-driven title automation systems and document intelligence platforms.
Role type
Director of Engineering (AI/ML Platform & Data Infrastructure)
Builds
Production-grade document intelligence systems, event-driven data pipelines, and AI-powered title automation features (Sequoia platform).
Domain
Title Insurance / AI & Machine Learning / Data Engineering
Deliverable
production ML models | product features | infrastructure
Required skills
Distributed data processing, cloud data warehouses, event-driven architectures, document intelligence, ML lifecycle management, Infrastructure as Code, CI/CD, operational excellence, cross-functional leadership, strategic planning.
Preferred skills
Modern lakehouse platforms (Databricks, Snowflake), vendor judgment, building high-performing distributed teams.
Technologies
Databricks, Unity Catalog, MLflow, Snowflake, Cloud Data Warehouses, Event-driven architectures.
Responsibilities
Define and evolve architecture for document intelligence systems; lead automated generation of title search packages; set technical direction for AI-ready data foundations; build high-performing distributed engineering teams; drive delivery and modernization of production platforms.
Seniority
Director, hands-on IC with people management