Lead Product Manager, AI Strategy

rdccareers; Austin (TX); On-site; USD 180,000 - 240,000; Full time

Job summary

Realtor.com® in Austin seeks a Lead Product Manager to define the vision and strategy for AI-native product experiences across the Core Product Strategy portfolio, spanning client-facing products, internal tools, and scalable data products that power our brokerage ecosystems.

You will partner with executives to align AI bets with business goals, ensure data quality and governance, and drive adoption by engineering and product teams to deliver measurable client value at scale.

Responsibilities

• Define the vision for how clients interact with RDC's products in an AI-native model, reimagining traditional workflows around conversational, proactive, and insight-driven experiences rather than bolting AI onto existing screens.
• Own the product strategy and roadmap for an AI-native interaction model across the Client portfolio, spanning client-facing products, internal tools that help our teams better serve clients, and data products that package RDC's data and insights for external use.
• Translate broader Core Product Strategy priorities into concrete, sequenced AI product bets, in partnership with the Advanced Insights sub-team and other Client Product areas.
• Define the north star for AI-native capabilities and partner with data science and engineering to ensure the underlying data and technical strategies and roadmaps support that foundational need, covering model selection and tradeoffs, data quality and availability, pipeline and infrastructure requirements, and what it takes to scale a capability from prototype to production.
• Define the data requirements that underpin new AI capabilities, including what data needs to be captured, cleaned, or integrated, and work with data teams to close gaps.
• Set and defend quality, accuracy, and trust standards for client-facing AI outputs, understanding where model limitations create real risk to clients and the business.
• Build the business case for new AI capabilities, including expected client and business impact, technical cost and complexity, and buy vs. build vs. partner tradeoffs.
• Design internal AI tools that make Client Product, Sales, and Support teams more effective at serving clients, from insight generation to workflow automation.
• Define and grow RDC's data product strategy, identifying which data and insights can be packaged and sold to clients and partners, and what it takes technically and commercially to deliver them responsibly and at scale.
• Design scalable backend integrations that give large enterprise segments direct access to RDC's data and insights, integrated into their own brokerage ecosystems.
• Partner with enterprise and partnerships stakeholders to shape the data access and integration strategy for our largest accounts, balancing client value against data governance and commercial considerations.
• Stay ahead of the external AI landscape, competitor capabilities, and emerging techniques, and translate what matters into RDC's product strategy.
• Partner directly with executive stakeholders across the business, including GMs and the Strategy team, to define where AI creates real value for RDC and to align that point of view with the broader portfolio strategy.
• Partner with legal, privacy, and trust and safety functions to navigate the data and model risks specific to AI products.
• Represent AI product strat

Job description

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 seeking a Lead Product Manager to define the vision and strategy for RDC's evolving AI-native product experiences, transforming how clients interact with our products and bringing our data and insights directly into how they run their business. This role sits on the Core Product Strategy team and spans the everyday products our clients use, the internal tools that help our own people serve them, and scalable data products and backend integrations that give our largest enterprise segments direct access to RDC's data and insights, integrated into their own brokerage ecosystems.

You'll help define the strategy behind where AI creates real value for RDC, not just where it's technically possible, and you'll work directly with executive stakeholders across the business, including GMs and the Strategy team, to align that point of view with the broader portfolio and secure the investment to build it.

This role goes deeper than identifying features AI could enable. You need a working understanding of the data and technical foundations, model selection, data quality and pipelines, evaluation, cost, and latency, that determine whether an AI or data capability can actually scale in production, and you'll partner closely with engineering and data science to make sure it can, and with the Product Experience Delivery team to make sure it delivers on adoption and business results.

What You'll Do:

• Define the vision for how clients interact with RDC's products in an AI-native model, reimagining traditional workflows around conversational, proactive, and insight-driven experiences rather than bolting AI onto existing screens.
• Own the product strategy and roadmap for an AI-native interaction model across the Client portfolio, spanning client-facing products, internal tools that help our teams better serve clients, and data products that package RDC's data and insights for external use.
• Translate broader Core Product Strategy priorities into concrete, sequenced AI product bets, in partnership with the Advanced Insights sub-team and other Client Product areas.
• Define the north star for AI-native capabilities and partner with data science and engineering to ensure the underlying data and technical strategies and roadmaps support that foundational need, covering model selection and tradeoffs, data quality and availability, pipeline and infrastructure requirements, and what it takes to scale a capability from prototype to production.
• Define the data requirements that underpin new AI capabilities, including what data needs to be captured, cleaned, or integrated, and work with data teams to close gaps.
• Set and defend quality, accuracy, and trust standards for client-facing AI outputs, understanding where model limitations create real risk to clients and the business.
• Build the business case for new AI capabilities, including expected client and business impact, technical cost and complexity, and buy vs. build vs. partner tradeoffs.
• Design internal AI tools that make Client Product, Sales, and Support teams more effective at serving clients, from insight generation to workflow automation.
• Define and grow RDC's data product strategy, identifying which data and insights can be packaged and sold to clients and partners, and what it takes technically and commercially to deliver them responsibly and at scale.
• Design scalable backend integrations that give large enterprise segments direct access to RDC's data and insights, integrated into their own brokerage ecosystems.
• Partner with enterprise and partnerships stakeholders to shape the data access and integration strategy for our largest accounts, balancing client value against data governance and commercial considerations.
• Stay ahead of the external AI landscape, competitor capabilities, and emerging techniques, and translate what matters into RDC's product strategy.
• Partner directly with executive stakeholders across the business, including GMs and the Strategy team, to define where AI creates real value for RDC and to align that point of view with the broader portfolio strategy.
• Partner with legal, privacy, and trust and safety functions to navigate the data and model risks specific to AI products.
• Represent AI product strat