Lead Product Manager, AI Activation

About the role

Recognized as the No. 1 site trusted by real estate professionals, Realtor.com® 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.

Responsibilities

• 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.
• 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.
• 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.
• 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, 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.
• Serve as the primary product voice for AI Activation to Revenue, Engineering, Design, Data Science, and Go-to-Market stakeholders.
• Collaborate with Engage and Grow & Renew teams to ensure a seamless handoff from activation to ongoing value delivery.

Requirements

• ~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.
• 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.
• Experience shaping data models, entity hierarchies, and account structures for complex B2B clients.
• You understand how team-broker-agent relationships compound at scale.
• Fluency with AI/ML concepts as they apply to product: recommendation systems, predictive modeling, anomaly detection, LLM-powered workflows.
• You don’t need to build the models — but you need to know when to use them, how to spec them, and how to evaluate them.
• Proven ability to define activation and onboarding funnels, instrument them correctly, identify failure modes, and drive measurable improvement.
• B2B Client Empathy: You know how professional partners set up, manage, and scale their business — and how product can remove the friction that slows that process down.
• Strategic Communication: You can run a sprint review with engineers in the morning and present a roadmap to a CRO in the afternoon. Both audiences walk away with clarity.
• Commitment to Inclusion: A desire to work within a diverse team where empathy, intellectual curiosity, and collaboration are as valued as technical skill.

Qualifications

• Bachelor’s Degree: In related field (such as computer science, business, etc.) or equivalent experience.

Skills

• Product Leadership
• Platform & Technical Depth
• Data Modeling & Structural Thinking
• AI-First Product Thinking
• Analytical Rigor
• B2B Client Empathy
• Strategic Communication
• Commitment to Inclusion

Benefits

• Inclusive and Competitive medical, Rx, dental, and vision coverage
• Family forming benefits
• 13 Paid Holidays
• Flexible Time Off
• 8 hours of paid Volunteer Time off
• Immediate eligibility into Company 401(k) plan with 3.5% company match
• Tuition Reimbursement program for degreed and non-degreed programs
• 1:1 personalized Financial Planning Sessions
• Student Debt Retirement Savings Match program
• Free snacks and refreshments in each office location

Pay

Commensurate with experience.

Schedule

N/A