About The Position

Realtor.com® is seeking a Lead Product Manager to build and scale a first-of-its-kind partner platform and data ingestion ecosystem. This is a hands-on leadership role responsible for owning the strategy and execution of a two-sided platform: building a partner-facing platform to drive transaction volume and engineering the backend infrastructure to capture, structure, and enrich high-fidelity spatial and media assets at scale. The data will feed AI model training and unlock new enterprise revenue streams. This role requires broad expertise across product, data engineering, commercial strategy, and cross-functional leadership, with the ability to navigate ambiguity and drive outcomes impacting the broader organization.

Requirements

  • 10+ years of related experience with a Bachelor's degree; 8+ years with a Master's degree; or a PhD with 5+ years in product management.
  • Track record delivering complex B2B/B2C marketplaces, API platforms, or enterprise data ingestion systems from early build through scale.
  • Broad expertise across product strategy, data engineering, commercial operations, and legal/compliance frameworks.
  • Strong technical fluency, comfortable with data pipelines, API design, and metadata schemas.
  • Proven ability to evaluate complex situations and exercise independent judgment.
  • Clear, persuasive communicator adaptable across technical teams, legal counsel, finance leadership, and C-suite audiences.

Nice To Haves

  • Direct experience with machine learning workflows, computer vision, or 3D/spatial data, especially around model training pipelines or large-scale media/image processing for AI applications.
  • Experience as a formal network builder with lasting cross-functional working relationships.
  • Background in prop-tech, real estate technology, digital media licensing, or two-sided marketplace infrastructure.

Responsibilities

  • Own the product lifecycle and roadmap for the partner ecosystem and data pipeline, translating business goals into a sequenced build plan.
  • Define product requirements for core ingestion channels including bulk upload APIs, automated system syncs, and batch pipelines.
  • Own the rights-tagging infrastructure to determine legal clearance for AI training and derivative content creation.
  • Establish a consistent metadata taxonomy with Engineering and Data Science, ensuring assets are structured and rights-cleared upon arrival.
  • Design partner discovery and ranking logic to incentivize higher-quality capture formats.
  • Collaborate with Legal to translate vendor onboarding and contract terms into platform guardrails.
  • Work with Finance and Ops to scale the payment architecture and commercial pipelines.
  • Support the building of infrastructure for enterprise licensing and potential M&A as the asset library matures.
  • Build the scaffolding to aggregate, structure, and package data for high-margin enterprise use cases.

Benefits

  • A warm, welcoming, and inclusive culture
  • Intellectual challenges
  • Development opportunities
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