Senior Product Manager, Insurance (Homebody)

This is a high-impact role at the center of our Homebody growth strategy. As the Sr. Product Manager for Homebody, you'll shape how we activate, retain, and expand our user base, while leading our early Product-Led Growth (PLG) initiatives. You'll work cross-functionally with product, engineering, and analytics teams to uncover and scale what drives our business.
This is an AI-native role in an AI-native product organization. That means AI is not just what you build, it's how you work. You'll build working prototypes with agentic development tools instead of writing requirements documents, define evals instead of hoping AI features work, and ship multiple product initiatives per release cycle by building your own operating leverage. With access to rich data, modern tooling, and a team that operates this way every day, you'll be empowered to turn insights into outcomes and drive measurable, company-level impact from day one. If you're passionate about growth, fluent in data, and already working this way, this is the role for you.

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.

Minimum Qualifications:

• 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.

Preferred Qualifications:

• 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.