SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Salary: USD 172,000 - 212,000 / annual
Hover is a proptech company that uses proprietary AI and real property data to help homeowners, contractors, and insurance professionals design, improve, and protect properties. The company transforms smartphone scans into fully measured, accurate, interactive 3D models and estimates.
You will own the analytical backbone of Hover's 3D and Estimates experience, embedded directly in the product team. This is a high-ownership role where you'll define measurement frameworks from scratch, build the company's experimentation practice for 3D products, and work directly with senior product and engineering leaders to shape the roadmap.
Key responsibilities:
- Define how the company measures the flow from 3D model to Estimates, identify conversion leaks, and make the case for product changes
- Partner with Product Managers and Engineering Leads to define success metrics, design experiments, and evaluate product performance
- Lead experiment design and analysis for A/B tests and quasi-experimental studies; write the playbook for how the company designs, runs, and interprets tests
- Evaluate new 3D experiences as the Inspections product (damage assessment) informs the model, thinking through system-level interactions
- Improve telemetry in Segment and run cleaner experiments through Split
- Build frameworks that help stakeholders align around insights and prioritize work that moves user and business outcomes
- Raise the bar for data-driven decisions across the product organization by extending the semantic layer in dbt and Hex, improving self-serve analytics, and mentoring peers
The role uses Segment, Split, dbt, and Hex—all in active development—so you'll shape the stack rather than inherit it. You'll scope your own questions, do the data work, and tell the story that changes what the company builds.
Hover has hubs in San Francisco and New York City. Employees living within 50 miles of either office are expected to come in at least three times per week. The company is not currently considering fully remote roles.
REQUIREMENTS:
- 7+ years in product analytics, data science, or related role focused on user behavior and experimentation
- Expert-level SQL for complex extraction and analysis, with comfort in messy, evolving data
- Hands-on ownership of experimentation, including experimentation platforms and statistical methods (A/B testing, causal inference); you choose metrics and guardrails, read results, and advise next steps
- Strong familiarity with BI and analytics notebook environments (Hex, Mode, Tableau, Looker, or similar) and judgment to build reusable analysis
- Experience with modern data stacks (dbt, Snowflake, Hex) and product analytics platforms (Amplitude, Mixpanel)
- Curiosity and hands-on experience using AI to accelerate analysis, surface insights, or improve workflows
- Strong product sense and ability to communicate complex findings clearly to technical and non-technical audiences through decks, documentation, and visualizations
- Track record where your analysis changed what a team built, not only what a team knew; willingness to bring that perspective to cross-functional rooms proactively
Nice-to-haves: Python for analysis or automation; experience with Segment or another CDP and with Split, LaunchDarkly, Statsig, or Eppo; consumer product experience where UX decisions drove conversion; comfort with quasi-experimental methods; exposure to 3D, spatial, or computer vision products; exposure to construction, home services, insurance, or operationally complex industries.
