Real estate, re-imagined.
Product Manager – Innovation
Location
United States
Posted
29 days ago
Salary
$115K - $145K / year
Seniority
Senior
Job Description
Product Manager – Innovation
Lone Wolf Technologies
• Own the product roadmap for AI-powered transaction capabilities. Define, prioritize, and sequence features that bring intelligence to Lone Wolf’s transaction management workflows. Translate customer needs and technical possibilities into a roadmap that balances near-term impact with long-term platform value. • Drive customer discovery. Work directly with brokerages, agents, and transaction coordinators to understand how they manage documents, handle compliance, and deal with errors today. Identify the highest-value opportunities for AI to reduce friction and risk. • Ship and iterate. Partner with AI engineering to take capabilities from prototype to validated product. Write specs, define success metrics, run pilots, and iterate based on real usage data — not assumptions. • Manage the build-measure-learn loop. Design experiments to validate product-market fit for new AI capabilities. Track adoption, measure impact, and use data to inform what we build next. • Partner across the organization. Work closely with Lone Wolf’s existing product and engineering teams — particularly those owning transaction management, forms, and e-signature — to ensure Innovation work integrates cleanly and accelerates their roadmaps. Build trust and share learnings proactively. • Understand the compliance landscape. Real estate transactions involve regulated documents, financial data, and legal obligations. Develop fluency in the compliance requirements that shape how brokerages operate so that AI capabilities enhance compliance rather than creating risk. • Represent the customer inside Innovation. Be the voice of the broker, agent, and transaction coordinator. Ensure what we build solves real problems and fits into real workflows.
Job Requirements
- Product management experience. 4+ years in product management or related fields, with experience owning a product area end-to-end. You’ve written specs, prioritized backlogs, shipped features, and measured outcomes.
- 0-to-1 or early-stage experience. You’ve built something new — whether at a startup, an incubation team, or a new product line within a larger company. You’re comfortable with ambiguity and know how to find signal when there’s no existing playbook.
- Technical fluency. You don’t need to build ML models, but you need to understand what AI can and can’t do today — particularly in document understanding, natural language processing, and workflow automation. You can have credible technical conversations with engineers and translate capabilities into product requirements.
- Customer-facing instinct. You’re energized by talking to customers. You can run a discovery interview, synthesize feedback patterns, and translate what you hear into product direction. Experience with enterprise SaaS customers is valuable.
- Analytical rigor. You define success metrics before building and measure outcomes after shipping. You’re comfortable with data analysis and use quantitative evidence to inform decisions.
- Cross-functional collaboration. You’ve worked effectively across engineering, design, sales, and customer success. You build trust quickly and know how to partner with peer teams whose work touches yours.
- Strong communication. You can write a clear spec, present a roadmap to leadership, and explain a complex capability to a non-technical audience. You default to written communication and documentation.
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