
201 - 500 employees
Founded 1993
đź Consulting
đ Real Estate
âď¸ SaaS
Consulting ⢠Real Estate ⢠SaaS
Lone Wolf Technologies is a leading provider of software solutions for the real estate industry. Their platform, known as the Lone Wolf Foundation, is an end-to-end solution designed to help real estate professionals like agents, brokers, and MLSs manage various aspects of their business efficiently. The company's product offerings include digital advertising, analytics, back office tools, CRM, eSignature, intranet, and more, all aimed at optimizing transaction workflows, client interactions, and business management. Lone Wolf Technologies focuses on integrating digital tools to enhance the operational efficiency of real estate practitioners across North America.
đĽ 13 hours ago
đşđ¸ United States â Remote
đľ $145k - $165k / year
â° Full Time
đ Senior
đ Product Marketing
đŚ H1B Visa Sponsor
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201 - 500 employees
Founded 1993
đź Consulting
đ Real Estate
âď¸ SaaS
Consulting ⢠Real Estate ⢠SaaS
Lone Wolf Technologies is a leading provider of software solutions for the real estate industry. Their platform, known as the Lone Wolf Foundation, is an end-to-end solution designed to help real estate professionals like agents, brokers, and MLSs manage various aspects of their business efficiently. The company's product offerings include digital advertising, analytics, back office tools, CRM, eSignature, intranet, and more, all aimed at optimizing transaction workflows, client interactions, and business management. Lone Wolf Technologies focuses on integrating digital tools to enhance the operational efficiency of real estate practitioners across North America.
⢠Run the customer advisory board end to end, from member recruitment through agenda, facilitation, and follow through ⢠Build and moderate product panels that put early features in front of real customers before launch ⢠Own the customer survey program and report back what changed because of it ⢠Conduct customer and prospect interviews and run win and loss analysis ⢠Synthesize all feedback into one voice of customer view that product, sales, and marketing use ⢠Bring a clear point of view on what customers need next, backed by customer feedback ⢠Own competitive research across the real estate technology landscape ⢠Maintain battlecards and competitive positioning for sales use ⢠Track market shifts, pricing moves, and new entrants, and brief leadership ⢠Feed competitive and market findings into segmentation and launch strategy ⢠Ground positioning decisions in customer and market evidence ⢠Build messaging architectures and buyer personas ⢠Unify the company narrative across all products ⢠Translate AI capabilities into practical value for real estate professionals ⢠Drive product launches and market segmentation ⢠Execute pilot programs to test pricing and positioning ⢠Track launch impact on pipeline, adoption, and revenue ⢠Develop B2B SaaS pricing and packaging recommendations tied to value ⢠Create sales enablement materials for the revenue team ⢠Deliver webinars and high-impact presentations to internal and external audiences ⢠Attend industry events as a company representative ⢠Support Analyst Relations and Public Relations initiatives ⢠Manage content partners and ensure high-quality output ⢠Build joint marketing narratives and campaigns with technology partners ⢠Mentor fellow product marketers and partner with company leadership
⢠5 to 8 years of product marketing experience managing an entire product line ⢠Experience running structured customer feedback programs such as advisory boards, panels, surveys, or win and loss analysis ⢠Comfort facilitating a room of senior customers and turning that conversation into decisions ⢠Deep knowledge of residential real estate, proptech, or adjacent industries ⢠Proven success creating portfolio level messaging and SaaS pricing models ⢠Track record of leading complex launches through influence and alignment ⢠Daily proficiency using AI tools for research and content creation ⢠Exceptional and direct writing skills ⢠Ability to thrive and build structure in ambiguous environments
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