Lead Product Manager, Partner Marketplace & Data Platforms

About this 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. Through its robust suite of tools, Realtor.com® not only makes a significant impact on the real estate industry at large, but for consumers, navigating the biggest purchase they will make in their life, by providing a user experience that is easy to use, easy to understand, and most of all, easy to make decisions.

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.

We're looking for 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, you'll own the strategy and get into the details, moving between executive alignment and sprint-level execution depending on what the week calls for.

The core of the work is two-sided: building a partner-facing platform that drives real transaction volume, and engineering the backend infrastructure to capture, structure, and enrich high-fidelity spatial and media assets at scale. The data flowing through this platform will feed AI model training and unlock new enterprise revenue streams. You'll be the connective tissue between executive vision, engineering reality, and the legal and financial guardrails that make it all defensible.

At this level, this role requires broad expertise across several disciplines: product, data engineering, commercial strategy, and cross-functional leadership and the independent judgment to navigate significant ambiguity. You'll be accountable for outcomes that impact the broader organization, not just your immediate team.

What you’ll do:

Roadmap Delivery & Execution

Own the product lifecycle and roadmap for our partner ecosystem and data pipeline. You'll translate business goals, specifically around data ownership and asset rights into a sequenced build plan that balances speed-to-market with long-term defensibility. That means writing crisp PRDs, running sprint planning, and staying close enough to engineering to catch problems before they become blockers. You'll apply independent judgment in determining methods and sequencing, and your decisions will have real impact on the function.

API & Ingestion Engineering

Define the product requirements for our core ingestion channels: bulk upload APIs, automated system syncs, and batch pipelines. The goal is to replace fragmented, manual data handoffs with a clean, secure chain of custody for every asset that enters the platform. You'll also own the rights-tagging infrastructure which is the layer that determines what's legally cleared for AI training and derivative content creation downstream, including emerging computer vision pipelines for next-gen media offerings.

Data Taxonomy & Standardization

Work with Engineering and Data Science to establish a consistent metadata taxonomy including asset classification, attribute tagging, geolocation and make sure every asset flowing in is structured and rights-cleared from the moment it arrives. This requires evaluating intangible factors and making judgment calls on taxonomy design that will shape how the entire platform scales, including how well it supports model training pipelines as our AI capabilities mature. Coverage of tagged, AI-ready assets is a core platform KPI you'll own.

Algorithmic Mechanics & Ecosystem Incentives

Design the partner discovery and ranking logic so the platform naturally rewards higher-quality, more valuable capture formats. Think carefully about the give-get across partner horizons including what partners receive now versus what they unlock over time and make sure the mechanics actually produce the behavior you're after. This requires conceptual thinking about incentive structures and their second-order effects on ecosystem health.

Commercialization & Cross-Functional Operations

Work closely with Legal to make sure vendor onboarding and contract terms translate directly into platform guardrails including exclusivity structures, data transfer rights, retention clauses, and succession terms all need to live somewhere in the product, not just in a filing cabinet. With Finance and Ops, help scale the payment architecture and commercial pipelines. You'll coordinate across multiple groups and regularly persuade senior, non-technical stakeholders on complex matters. As the asset library matures, support in building the infrastructure needed for enterprise licensing and potential M&A..

Enterprise Monetization Enablement

As the data library grows, build the scaffolding to aggregate, structure, and package it for high-margin enterprise use cases for financial institutions, risk underwriting, institutional analytics, and advanced computer vision applications for next-generation media products. This role focuses on platform readiness, not sales/partnership execution. Your job is to make sure the infrastructure can support those conversations when the business is ready to have them.

What you’ll bring:

• 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, with a track record delivering complex B2B/B2C marketplaces, API platforms, or enterprise data ingestion systems from early build through scale.

• Broad expertise across several related disciplines including product strategy, data engineering, commercial operations, and legal/compliance frameworks. Able to lead across these areas without needing a hand-off at every boundary.

• Strong technical fluency. You're comfortable in the weeds with data pipelines, API design, and metadata schemas.

• Proven ability to evaluate complex situations where the right answer isn't obvious, including commercial contracts,

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