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San Francisco, California, United States
Hybrid
Hover helps people design, improve, and protect the properties they love. With proprietary AI built on over a decade of real property data, Hover answers age-old questions like “What will it look like?” and “What will it cost?” Homeowners, contractors, and insurance professionals rely on Hover to get fully measured, accurate, and interactive 3D models of any property — all from a smartphone scan in minutes.
At Hover, we’re driven by curiosity, purpose, and a shared commitment to serving our customers, communities, and each other. We believe the best ideas come from diverse perspectives and are proud to cultivate an inclusive, high-performance culture that inspires growth, accountability, and excellence. Backed by leading investors like Google Ventures and Menlo Ventures, and trusted by industry leaders including Travelers, State Farm, and Nationwide — we’re redefining how people understand and interact with their spaces.
Hover’s product suite has expanded significantly in recent years. We’ve launched new solutions across the Pro workflow, introduced AI-driven design visualizations, and scaled to serve homeowners, contractors, and insurance carriers. Our Product Analytics team partners closely with Product Management, Design, and Engineering to keep product decisions grounded in solid data and a deep understanding of how people use what we build.
This role owns analytics for one of Hover’s most compelling products and biggest opportunities for growth. Hover transforms a simple phone scan of a house into an accurate 3D model, and that model into the measurements and estimates contractors rely on to run their businesses. It’s also one of our most consumer-facing experiences, allowing homeowners to see and interact with a digital representation of their own home. As we continue to expand what’s possible with 3D, we’re looking for someone to help us understand how customers engage with these experiences, identify opportunities to make workflows more seamless, and define what success looks like across the journey from model to estimate.
This role demands an owner mindset. You’ll establish the measurement framework rather than inherit one, build our experimentation practice for 3D, and work directly with senior product and engineering leaders to shape the roadmap. You’ll handle a wide range of analytical needs along the way: tracking plans, dashboards, experiment design, and deep-dive product analyses. More importantly, you’ll turn data into a clear point of view on where we should invest and how we can deliver more value to customers.
Your background likely spans product analytics, experimentation, data science, or product strategy, and you’re looking for broad scope with a short distance between your analysis and a real decision. Final leveling will be determined based on experience and alignment during the interview process.
You'll own the analytical backbone of Hover's 3D and Estimates experience, embedded in the product team rather than sitting beside it. You'll scope your own questions, do the data work, and tell the story that changes what we build. Our stack is Segment, Split, dbt, and Hex, and all of it is in active development, so you'll shape it instead of inheriting it.
Nice-to-haves
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 $172,000-$212,000 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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