Lead Product Manager, AI Activation

Overview

Recognized as the No. 1 site trusted by real estate professionals, ® has been at the forefront of online real estate for over 25 years, connecting buyers, sellers, and renters with trusted insights and expert guidance to find their perfect home. Join us on our mission to empower more people to find their way home by breaking barriers to entry, making the right connections, and building confidence through expert guidance.

As the Lead Product Manager, AI Activation
, you will own the end-to-end client activation experience, the critical window between contract close and a Client’s first meaningful outcome with ®. This is a high-visibility, technically rigorous role at the core of our Client Experience team, owning the platform capabilities, AI-powered experiences, and shared services that help Brokers, Teams, and Agents go live faster, set up with confidence, and realize value sooner.

AI-Driven Activation Strategy

• Define and own the product vision for AI-powered activation, from automated onboarding workflows to intelligent setup recommendations that reduce time-to-first-value for new Clients.
• Develop and maintain a roadmap that balances near-term activation wins with long-term platform scalability and AI capability investment.
• Identify and prioritize opportunities to embed AI/ML throughout the activation journey, including predictive setup guidance, anomaly detection, and personalized onboarding flows.

Seamless Onboarding & Time-to-Value

• Own enterprise onboarding capabilities end-to-end: roster ingestion, identity and access provisioning, product setup and configuration, and team hierarchy management.
• Drive measurable reduction in activation time by identifying and eliminating friction across the self-serve and assisted setup paths.
• Partner with Go-to-Market and Customer Success to align product setup milestones with commercial success signals: first login, first lead, first renewal touchpoint.

Platform Capabilities & Technical Depth

• Guide the development of foundational, reusable activation services, including SSO/third-party integrations, data provisioning, and configuration APIs that other product teams build on.
• Own Client data management across the RDC ecosystem, ensuring consistency, accuracy, and accessibility of client account structures, agent-team-broker hierarchies, and entitlement data.
• Collaborate closely with Engineering and Data Science to define system architectures, data models, and entity relationships that support complex account structures at scale.

Analytics, Instrumentation & Insight

• Define and own the activation funnel metrics: setup completion rates, time-to-activate, drop-off points, and downstream correlation to retention and engagement.
• Partner with Data Science to build predictive models that flag at-risk activations early, enabling proactive intervention before churn risk compounds.
• Use qualitative and quantitative signals, session data, support tickets, NPS, and sales feedback to continuously validate and refine the activation experience.

Cross-Functional Alignment & Stakeholder Influence

• Serve as the primary product voice for AI Activation to Revenue, Engineering, Design, Data Science, and Go-to-Market stakeholders.
• Translate complex technical strategies and AI capabilities into clear, business-outcome-driven narratives for exec audiences.
• Collaborate with Engage and Grow & Renew teams to ensure a seamless handoff from activation to ongoing value delivery.

• Product Leadership: ~10 years in product management, with meaningful time in B2B/SaaS, marketplace, or platform environments. Experience owning onboarding, activation, or lifecycle products is a strong plus.
• Platform & Technical Depth:
  Strong technical background in platform and API products, shared services, data provisioning, identity/access systems, or developer-facing capabilities. You can read an ERD, engage in architecture reviews, and hold your own in technical design discussions.
• Data Modeling & Structural Thinking:
  Experience shaping data models, entity hierarchies, and account structures for complex B2B clients. You understand how team-broker-agent relationships compound at scale.
• AI-…