Senior Product Manager, Insurance (Homebody)

Entrata is a global leader in AI-driven property management technology, and they are seeking a Senior Product Manager for their Homebody growth strategy. This role involves shaping user activation, retention, and expansion while leading Product-Led Growth initiatives in a cross-functional environment.

Responsibilities:

• Own and evolve the Product-Led Growth (PLG) roadmap, leading initiatives across the user lifecycle, including activation, engagement, retention, and monetization
• Spearhead the development of a direct-to-consumer marketplace within the Homebody platform, optimizing conversion funnels, new monetization surfaces, and partner integrations to grow ARPU
• Define product strategy for AI agents in the Homebody Resident Experience Platform (RXP) designed to resolve resident needs end-to-end, measuring success on resolution rather than deflection
• Build working prototypes of growth features using agentic AI development tools (e.g., Cursor, Claude Code) to hand off dev-ready packages—prototype, spec, and evals—rather than traditional requirements documents
• Define evals, guardrails, and human-in-the-loop escalation frameworks to measure accuracy, resolution rates, and failure modes before and after feature launch
• Identify friction points in the user journey, design A/B test hypotheses, and guide cross-functional teams as the internal expert in analytics and experimentation tooling
• Collaborate closely with engineering, design, marketing, sales, and analytics teams to bring the product vision to life and execute go-to-market strategies
• Build and share reusable AI workflows, automations, and skills to expand overall product team throughput while evangelizing an AI-native operating model

Requirements:

• Bachelor's degree or equivalent practical experience, plus 5+ years of product management or related outcome-driven experience
• Track record of defining key metrics, running iterative experiment loops, and shipping features or tools that measurably move target outcomes
• Demonstrable portfolio of working AI prototypes, agents, automations, or internal tools built using AI development tools, including participating in a live working session during the interview loop
• Practical capability to design and execute evals, test sets, or structured quality checks to evaluate AI system performance and guardrails
• Working proficiency with product analytics platforms (e.g., Amplitude, Google Analytics, Mixpanel) and technical fluency to discuss trade-offs with engineering teams across frontend and backend systems
• Strong communication and stakeholder management skills with experience thriving in fast-paced, iterative environments
• MBA or master's degree in a quantitative or technical field
• 2+ years dedicated to growth product management, experimentation frameworks, or launching/scaling PLG motions in SaaS environments
• Direct-to-consumer product experience, including conversion funnel optimization and scaling online marketplaces with partner integrations
• Hands-on experience developing, evaluating, and deploying conversational AI or autonomous agents in production environments
• Strong familiarity with growth loops and PLG frameworks (e.g., AARRR 'pirate metrics')
• Proven track record of working with data science and analytics teams to perform behavioral exploration and opportunity sizing