Sales Solutions Engineer

House Whisper is an AI-powered assistant that addresses one of the real estate industry's key challenges—streamlining lead management and follow-ups. Founded by former Zillow executives, House Whisper acts as a 24/7 virtual teammate, handling administrative tasks such as CRM updates, personalized follow-ups, and scheduling, all through simple interactions. By automating routine work, it allows real estate agents to focus on closing deals and nurturing client relationships.

Trusted by agents to increase productivity and efficiency, House Whisper empowers professionals to grow their businesses and stay competitive in a fast-paced market.

We are hiring a Sales Solutions Engineer to own a dedicated book of business and manage the end-to-end implementation, optimization, and expansion of House Whisper's new product with real estate customers. You will be the primary point of contact for each customer in your portfolio post-sale, responsible for configuring the AI system within their CRM environment, analyzing lead and agent behavior at a granular level, and driving measurable outcomes.

This is a deeply hands-on, detail-oriented role. You will spend significant time inside customer CRMs, reviewing individual lead timelines, curating real examples of AI performance, coaching customers on best practices, and proactively recommending ways to expand the product's footprint. You will be accountable for the health, retention, and growth of every account in your book. You will also serve as a critical feedback loop between our customers and our product and engineering teams.

• Own and manage a book of business, serving as the dedicated point of contact responsible for customer retention, satisfaction, and expansion across your accounts
• Conduct daily deep dives into customer CRMs, reviewing AI-initiated conversations, lead responses, agent handoffs, and lead dispositions to build a granular understanding of each account
• Monitor agent performance and identify patterns: who is responding quickly to AI handoffs, who isn't, and where leads are falling through the cracks
• Curate specific examples of AI performance (successes, problem cases, communication quality) and use them to drive weekly customer meetings with data-backed recommendations
• Own and run weekly customer meetings covering volume recaps, live CRM walk-throughs, agent performance, edge case decisions, and expansion opportunities
• Identify opportunities to optimize sales processes and workflows based on data-driven insights
• Manage AI system configuration per customer and determine when to introduce new features based on customer readiness and agent responsiveness
• Collect customer feedback and market intelligence to inform product development, go-to-market strategy, and packaging decisions
• Maintain meticulous per-customer documentation: configuration details, decision logs, meeting notes, performance trends, and expansion roadmaps

• 3+ years in a customer-facing technical or solutions role (Solutions Engineer, Customer Success Engineer, Technical Account Manager, Implementation Specialist, or similar)
• Experience owning a book of business or portfolio of accounts, with direct accountability for customer outcomes, retention, and growth
• Deep comfort navigating CRMs with strong experience at the lead-timeline level, not just the dashboard level
• Extremely high attention to detail: you're the person who reads every message in a lead's conversation thread, notices a 4-hour gap in agent response time, and brings it to the meeting with a recommendation
• Strong analytical and pattern-recognition skills: ability to spot trends in agent behavior, identify misclassified leads, and translate data into actionable customer recommendations
• Excellent communication skills: comfortable running weekly customer meetings, walking through specific CRM examples on screen, and having direct but diplomatic conversations about agent performance
• Proactive ownership mentality: you surface issues and opportunities before being asked, send customers quick wins between meetings, and come to every call with a prepared recommendation
• Understanding of…