Engagement Manager

As Engagement Manager, you will own 2-3 client relationships and lead engagements from initial discovery through implementation and ongoing expansion. You will sit at the intersection of consulting, AI solution design, and client success translating ambiguous real estate problems into clear, executable plans and measurable outcomes.What youll doOwn client relationships end-to-end, serving as the primary relationship manager and day-to-day point of contact.Lead discovery engagements (typically 23 weeks):Conduct stakeholder interviews across business, operations, and technology teamsMap current-state processes and decision flowsIdentify, size, and prioritize pain points that are well-suited for AI interventionTranslate business needs into structured problem statements, technical briefs, and solution hypotheses in partnership with Product and Engineering.Manage engagement scope, timelines, deliverables, and client communications with high precision and polish.Present findings, recommendations, and progress updates to senior audiences (VP , C-suite) with confidence.Drive implementation success by coordinating across internal technical teams and client stakeholders to support deployment and adoption.Identify expansion opportunities over time by linking delivered outcomes to additional high-value use cases.Serve as an internal feedback loopbringing field insights back to improve the platform, packaging, and go-to-market motion.Travel to client sites as needed for relationship-building and on-site discovery sessions.What were looking forRequired7-10+ years of experience in tech enabled services consulting, strategy, or a high-velocity, client-facing role specifically in the commercial real estate domainDemonstrated ability to elicit business requirements from non-technical stakeholders and translate them into clear, testable problem statements.AI-native mindset: you actively use AI tools in your work and understand practicalcapabilities, limitations, and adoption considerations.Outstanding written and verbal communication: comfortable running executive meetings and producing crisp one-pagers and client-ready deliverables. Strong organizational skills and comfort managing multiple engagements simultaneously.Entrepreneurial orientation: energized by building new processes, templates, and playbooks in a lean environment.PreferredExperience at a Series AC startup or in roles requiring significant cross-functional ownership.Familiarity with AI/ML solution configuration and/or data pipeline concepts (you dont need to build them, but should be able to speak to them).Track record of growing client relationships beyond the initial scope through demonstrated outcomes.How engagements work (3-phase model)1. Discovery (Weeks 13)Stakeholder interviewsProcess mapping and current-state assessmentPain point prioritization and use-case selectionOutput: prioritized roadmap + technical briefs + success metrics2. Build (Weeks 48)Partner with technical team on backend data work and AI solution configurationValidate hypotheses with client stakeholders through iterative check-insOutput: configured solution(s), implementation plan, and readiness checklist3. Implementation & Expansion (Ongoing)Live deployment and adoption supportMeasurement and iteration against success metricsRelationship deepening and identification of next use casesOutput: sustained outcomes and account growth plan
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