Lead Product Manager, AI Strategy
Realtor.com - Austin, TX
Hiring: Lead Product Manager, AI Strategy Company: Realtor.com Location: Austin, TX Job Posted Time: 2026-09-16 20:41:40 Target Skills & Keywords : Data Pipeline, Financial Planning, Product Management, Product Strategy, User Experience About the job Experience: •10+ years of product management experience, including meaningful, recent experience shipping AI or ML-powered features in a client-facing product. •Demonstrated experience partnering directly with data science and engineering teams on model selection, evaluation, and scaling decisions. •We balance creativity and innovation on a foundation of in-person collaboration. For most roles, our employees work three or more days in our offices, where they have the opportunity to collaborate in-person, adding richness to our culture and knitting us closer together. Required Skills: •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 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. Qualifications: •Deep hands-on experience building and shipping AI-native, client-facing products, not just experimenting with AI internally. •A track record of designing new interaction models, conversational, proactive, or insight-driven experiences, rather than only adding AI features to existing workflows. •Working technical fluency in how AI products are actually built: model types and tradeoffs, data pipelines, evaluation and monitoring, and the infrastructure choices that affect cost and scale. •Comfort partnering closely with engineering and data science as a peer in technical conversations, not just a translator of requirements. •An understanding that goes beyond what a model can do, to what it takes operationally and technically to serve that capability reliably to real clients at scale. •Strong product judgment on where AI creates real client value versus where it's a novelty, and the discipline to say no to the latter. •Comfort working with enterprise or B2B stakeholders on data access, integration, and partnership strategy for large accounts. •Strong cross-functional collaboration skills, able to align data science, engineering, design, legal, and business stakeholders around a single roadmap. •Clear written and verbal communication, able to explain technical AI tradeoffs to non-technical stakeholders and vice versa. •Bachelor's degree in a technical field or equivalent experience; a background in data science, engineering, or applied AI is a strong plus. Compensation: •Immediate eligibility into Company 401(k) plan with 3 Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!