Business Systems Analyst, Revenue Operations

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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. Why Hover wants you Hover's Revenue Operations team is in an exciting moment: we're not just optimizing existing workflows - we're rebuilding how our revenue teams operates with AI at the center. This role sits at the intersection of our Business Systems tech stack including Salesforce administration and AI-powered automation, and we're looking for someone who is genuinely energized by both. You'll be the technical backbone of our RevOps team, owning Salesforce while rolling up your sleeves on a set of high-impact AI initiatives already in flight: email automation, AI powered sales call preparation, automated deal desk process, and closed lost insights. You bring deep CRM expertise, a builder's instincts, and real curiosity about what's possible when tools like Gong, Claude, Hex, Slack, and Clay are wired together intelligently. If you've been looking for a role where you can do serious Salesforce work and push into the AI frontier, this is it. You will contribute by Own Salesforce end-to-end - manage users, permissions, flows, validation rules, custom objects, and data quality. Be the person the team trusts to keep the CRM healthy and evolving. Build and scale AI-powered RevOps workflows - contribute directly to active initiatives including email automation, AI powered sales call preparation, automated deal desk process, and closed lost insights using tools like Claude, Slack, Gong, Hex, and Clay. Translate business requirements into technical solutions - partner with Sales, Marketing, and RevOps leadership to scope needs, design solutions, and deliver systems that are reliable and maintainable. Identify and eliminate manual work - proactively spot friction in revenue workflows and design automation that lets reps focus on selling, not admin. Design human-in-the-loop systems - build AI workflows that balance automation with quality, escalation management, and operational trust. Maintain data pipeline health - monitor integrations, resolve failures, and ensure the data our teams rely on is accurate and timely across the GTM stack. Document as a first-class output - build the institutional knowledge that allows the team to scale, iterate, and onboard new tools confidently. Partner with Enablement team - give Enablement the inputs to train Sales on new systems and workflows as they roll out. Your background includes Seasoned Salesforce administration 3+ years managing Salesforce in a startup environment; Salesforce Administrator certification strongly preferred. You've owned complex orgs and know how to build for scale and data integrity. AI tooling fluency - you've worked with AI-powered tools in a production context, not just experimented. Hands-on experience with any of the following is a strong plus: Gong (call intelligence, workflow automation), Claude / Anthropic (prompt design, API-based workflows), Hex (data notebooks, dashboards, AI analytics), or Clay (enrichment pipelines, outbound automation). Slack workflows are a must. RevOps context - you understand the revenue funnel and the workflows that support it: pipeline management, forecasting, lead routing, deal reporting, and win/loss analysis. Data across Systems - while you haven't owned APIs or native connectors, you do understand how data moves between systems and where things break. Analytical mindset - comfortable with data: SQL or similar query skills, experience working with or alongside data teams, and a habit of verifying that the numbers make sense before shipping. Clear communication and executive presence - you can translate a technical decision to a sales rep and to leadership equally well. You write documentation people actually read and you can interface with VP level leadership. Proactive ownership - you spot problems before they become fires, propose solutions, and drive them to resolution without needing to be asked twice.

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