Leads engineering team building classification and scoping systems for property estimates platform, integrating 3D data and external partners. Requires 5+ years hands-on engineering and 2+ years managing teams, with platform systems experience.
190k – 235k
Hybrid5+ YOEEngineering Management
About the role
Responsibilities
Own the technical roadmap and business strategy for the Estimates Platform, balancing quarterly delivery with long-term architectural vision.
Synthesize inputs from Product, Data Science, Operations, and business stakeholders into a clear technical strategy that delivers incremental value.
Lead, mentor, and grow a team of engineers—supporting career development, promotions, and a high-performance culture.
Partner cross-functionally with Product, Operations, 3D Modeling, and external integration partners to translate requirements into actionable plans.
Drive the reliability, accuracy, and scalability of the classification and scoping systems that power estimates across Hover’s product surface.
Balance innovation with operational stability, continuously improving system health and data quality.
Requirements
5+ years as a hands-on engineer, with experience designing and delivering production systems at scale.
2+ years leading engineering teams, with a track record of guiding technical teams and collaborating across stakeholders to drive business-wide impact.
Experience operating in a fast-paced, product-driven technology environment.
Experience building or owning platform-layer systems—classification engines, data pipelines, rules engines, or similar foundational infrastructure.
Strong product intuition and comfort translating ambiguous business problems into clear, scoped engineering work.
Nice to Haves
Experience in proptech, insurtech, construction tech, or domains involving structured property data or physical-world classification.
Familiarity with building systems that integrate with external data providers or third-party estimation APIs (e.g., Xactimate, CoreLogic).
Exposure to machine learning–assisted classification or data enrichment pipelines.
Experience working with 3D model data, geospatial systems, or computer vision outputs as inputs to downstream business logic.
Background in building or scaling rules engines, configuration-driven systems, or decision frameworks that non-engineers can extend.
Comfort operating in a domain with complex, evolving data — where "correct" is a moving target and iteration speed matters as much as precision.
Compensation and Benefits
Competitive salary and meaningful equity.
US base salary range: $190,000 - $235,000 annually.
Comprehensive medical, dental, and vision coverage.
Learning and development support (management training, conferences).
Skills
Data PipelinesRules EnginesClassification EnginesMachine Learning3D Model DataGeospatial SystemsComputer VisionXactimateCorelogicConfiguration-Driven Systems
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