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HoverHoverSan Francisco, CA

Engineering Manager, Estimation

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.
  • Unlimited and flexible vacation policy.
  • Paid family leave.
  • Mandatory self-care days.
  • Remote wellbeing resources (fitness classes, meditation, therapy).
  • Learning and development support (management training, conferences).

Skills

Data PipelinesRules EnginesClassification EnginesMachine Learning3D Model DataGeospatial SystemsComputer VisionXactimateCorelogicConfiguration-Driven Systems
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