Engineering Manager, Estimation

Why Hover wants you

The Estimates Platform team owns the foundational systems that determine what Hover can scope, classify, and price for any structure. If a product needs to know what work a structure requires or what it costs, it starts here.

At its core, this is a recommendation system. You'll ingest disparate data sources (3D model outputs, product catalogs from distribution partners, pricing feeds, and customer inputs), synthesize them into a structured language the rest of Hover can consume, and serve actionable estimates to internal teams, contractors, and insurance partners.

The system is deterministic today, and the core stays that way. AI is how we accelerate the platform's expansion: ingesting new partner catalogs, classifying unfamiliar trades, and learning from every estimate that flows through. As Engineering Manager, you'll lead that evolution, extending the rules-based foundation with AI-driven capabilities that open the platform to new trades and new partners.

You will contribute by

• Own the technical roadmap and business strategy for the Estimates Platform, balancing quarterly delivery with long-term architectural vision.
• Lead, mentor, and grow a team of engineers, supporting career development, promotions, and a high-performance culture.
• Drive AI adoption inside the team, pushing engineers toward AI-first workflows and tooling.
• Partner with Product to extend the platform with AI-driven capabilities that accelerate expansion into new trades, distributors, and partner catalogs.
• Navigate tradeoffs when Insurance and Construction need different things from the same platform, and communicate the why to each stakeholder.
• Work across Product, Data Science, Operations, 3D Modeling, and external integration partners to turn ambiguous business problems into scoped engineering work.
• Drive the reliability, accuracy, and scalability of the classification and scoping systems that power estimates across Hover's product surface.

Your background includes

• 7+ years as a hands-on engineer, with experience designing and delivering production systems at scale.
• 3+ years leading engineering teams, with a track record of growing engineers, navigating stakeholder priorities, and driving business-wide impact.
• Experience building and 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.
• Active, daily user of AI coding tools, with experience coaching engineers on your team toward AI-first workflows.
• Experience shipping AI-driven capabilities into customer-facing products.

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, or similar).
• Experience shipping production ML, inference, or recommendation systems, including the eval, drift, and rollback work that comes with running them in production.
• Experience working with 3D model data, geospatial systems, or computer vision outputs as inputs to downstream business logic.
• Background building configuration-driven systems or decision frameworks that non-engineers can extend.

Benefits

• Compensation - Competitive salary and meaningful equity in a fast-growing company
• Healthcare - Comprehensive medical, dental, and vision coverage for you and dependents
• Paid Time Off - Unlimited and flexible vacation policy 
• Paid Family Leave - We support work/life balance and offer generous paid parental and new child bonding leave 
• Mandatory Self-Care Days - A day set aside each month to allow employees to recharge 
• Remote Wellbeing Resources - We provide recurring fitness classes, meditation/ mindfulness tools, virtual therapy, and family planning assistance 
• Learning - We encourage continued education and will help cover the cost of management training, conferences, workshops, or certifications

Hybrid roles at Hover

Hover has Hubs in San Francisco and New York City, where we expect that all employees living within a 50-mile radius of our offices will come into their local Hover office at least three times a week to build rapport and foster organic connection. At this time, Hover is not considering fully remote roles.

The US base salary range for this full-time position is $190,000 - $235,000 annually. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all applicable US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

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