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Recently posted jobs
Artificial Intelligence • Marketing Tech • Real Estate
Owns US B2B partner acquisition for a homeowner seller-referral marketplace. Responsibilities include prospecting, negotiating referral terms, launching partner workflows, measuring channel performance, improving partner economics, documenting acquisition playbooks, and coaching a small partnerships team.
Artificial Intelligence • Marketing Tech • Real Estate
Conduct high-volume outbound calls to real estate prospects, including owners, buyers, sellers, investors, landlords, and tenants. Qualify leads using structured discovery questions, identify motivations and timelines, schedule callbacks, generate qualified opportunities, and transfer them to representatives. Maintain accurate CRM records, dispositions, notes, and follow-ups while complying with telemarketing, privacy, and do-not-contact requirements. Performance is measured through call volume, lead quality, conversion, quality assurance, CRM accuracy, attendance, and schedule adherence.
Artificial Intelligence • Marketing Tech • Real Estate
Own post-purchase customer success for real estate investor buyers. Responsibilities include onboarding, activation, account health scoring, retention and churn management, escalations, refund resolution, customer feedback analysis, reporting, and building playbooks from scratch. The role partners with sales, support, product, engineering, and analytics while directly owning retention metrics and working at least four hours daily with US Eastern Time.
Artificial Intelligence • Marketing Tech • Real Estate
Build and scale the outbound sales motion from scratch: define target accounts, messaging, sequences, and processes; run ABM campaigns; close initial enterprise deals; use AI and sales tools to optimize outreach; collaborate cross-functionally; hire and lead an outbound team to reach $250K/month in outbound revenue within six months.
Artificial Intelligence • Marketing Tech • Real Estate
Partner with founders and cross-functional teams to analyze financial and operational data, build executive dashboards, create P&L and margin analyses, forecast and model unit economics, identify cost leaks, reconcile transactions, and present recommendations to improve profitability, cash flow, and business performance.
