Lead Product Manager, AI Activation

Realtor Careers•Austin, TX

2d•Hybrid

About The Position

Realtor.com® is seeking a product leader with an AI-first mindset to own the end-to-end client activation experience. This role focuses on the critical window between contract close and a client's first meaningful outcome with Realtor.com®, aiming to engineer this journey with precision. The Lead Product Manager will be responsible for platform capabilities, AI-powered experiences, and shared services that enable Brokers, Teams, and Agents to go live faster, set up with confidence, and realize value sooner. This is a high-visibility, technically rigorous role within the Client Experience team.

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.
Ability to 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.
Understanding of 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.
Ability to understand when to use AI/ML, 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.
Understanding of how professional partners set up, manage, and scale their business and how product can remove friction.
Ability to run a sprint review with engineers and present a roadmap to a CRO.
Commitment to Inclusion: A desire to work within a diverse team where empathy, intellectual curiosity, and collaboration are valued.
Bachelor’s Degree in a related field (such as computer science, business, etc.) or equivalent experience.

Responsibilities

Define the strategy, roadmap, and delivery cadence that drives client time-to-value and platform efficiency across the activation lifecycle.
Define and own the product vision for AI-powered activation, including automated onboarding workflows and intelligent setup recommendations.
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, such as predictive setup guidance, anomaly detection, and personalized onboarding flows.
Own enterprise onboarding capabilities end-to-end, including 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 self-serve and assisted setup paths.
Partner with Go-to-Market and Customer Success to align product setup milestones with commercial success signals.
Guide the development of foundational, reusable activation services, including SSO/third-party integrations, data provisioning, and configuration APIs.
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.
Define and own the activation funnel metrics, including 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.
Use qualitative and quantitative signals to continuously validate and refine the activation experience.
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 executive audiences.
Collaborate with Engage and Grow & Renew teams to ensure a seamless handoff from activation to ongoing value delivery.