# Engineering Manager, Estimation

**Company:** [Hover](https://hotfix.jobs/companies/hover)
**Location:** San Francisco, CA
**Role:** Engineering Management
**Salary:** $190k – $235k/yr
**Experience:** 5+ years
**Skills:** Data Pipelines, Rules Engines, Classification Engines, Machine Learning, 3D Model Data, Geospatial Systems, Computer Vision, Xactimate, Corelogic, Configuration-Driven Systems
**Posted:** 2026-04-28

> 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.

## Job Description

## 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).

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