Jobs at Realtor.com

Build practical AI solutions across knowledge copilots, workflow agents, and low-code applications. Responsibilities include stakeholder discovery, workflow mapping, rapid prototyping, cloud deployment, API integration, prompt and retrieval optimization, production maintenance, monitoring, and reliability. The role also develops AI enablement materials, leads workshops, coaches internal teams, measures adoption, and promotes AI best practices across Product, Engineering, and Operations.

Staff Software Engineer and technical lead for Realtor.com's Organic Growth Engineering platform. Owns SEO infrastructure, organic social sharing, deeplinking, attribution, crawl and rendering reliability, incident response, SLOs, observability, and technical standards at scale. Leads cross-team fixes and design reviews without direct management responsibility. Requires strong backend and frontend engineering, technical SEO, GraphQL, cloud delivery layers, mobile attribution, data analysis, CI/CD automation, and senior-level technical leadership.

Develop and operate full-stack applications, backend services, data pipelines, and distributed systems processing millions of records daily. Build AWS-based architectures, improve data quality through AI and automation, optimize CI/CD and developer tooling, and collaborate with product and design teams. The role also mentors engineers, drives engineering excellence, and supports reliable, scalable content systems.

Build and operate high-traffic consumer and partner products across the full stack, including backend microservices, APIs, frontend experiences, databases, infrastructure, and data pipelines. Responsibilities include writing tested code, maintaining observability and reliability, integrating third-party services, protecting sensitive data, using AI-assisted development tools, and driving projects independently with cross-functional teams.

Manage strategic MLS accounts to drive product adoption, upgrades, retention, and revenue for Realtor.com+ and Zenlist. Develop training and adoption strategies, conduct business reviews, report engagement metrics, execute outreach campaigns, and resolve customer issues. Collaborate with Product, Engineering, Marketing, Legal, Support, and other teams while maintaining account data, managing launch timelines, and supporting industry initiatives.

Supports enterprise systems initiatives focused on Salesforce and customer-facing applications. Gathers requirements, documents processes, writes user stories and acceptance criteria, partners with engineering and QA through delivery, supports UAT and releases, and coordinates stakeholders across Sales, Customer Success, Revenue Operations, Finance, and Product. Identifies AI opportunities using Salesforce Agentforce and other platforms while contributing to product strategy, solution design, implementation planning, and end-user adoption.

Own the roadmap and end-to-end delivery of data products, marketplace tools, and internal data access capabilities. Prioritize intake, define requirements, partner with engineering and governance teams, launch products, and measure adoption, quality, trust, and business value. The role requires strong data fluency, stakeholder alignment, discovery, metrics-driven decisions, and experience turning recurring data needs into reusable products.

Leads enterprise systems initiatives focused on Salesforce and customer-facing business applications. Translates business needs into technical requirements, user stories, solution designs, and implementation plans. Partners with Product, Engineering, Sales, Customer Success, Revenue Operations, QA, and other stakeholders throughout discovery, development, testing, release, and adoption. Oversees Salesforce Sales Cloud and Service Cloud enhancements, explores AI-enabled solutions, manages multiple strategic initiatives, and communicates roadmaps and progress to executives.

Own long-term product strategy for Realtor.com’s Client portfolio, spanning lead-generation, branding, promotions, and brokerage software products. Define portfolio roadmaps, packaging, pricing, tiering, commercial models, business cases, success metrics, and strategic partnerships. Align executives and cross-functional teams, present strategic recommendations, drive prioritization without direct authority, and mentor product managers. The role requires substantial product leadership, financial acumen, executive communication, and experience shaping business lines or subscription and marketplace models.

Own the vision, strategy, and roadmap for Realtor.com’s value-add products serving real estate agents and brokers. Assess markets, competition, customer needs, and investment opportunities; build business cases and secure leadership buy-in. Translate strategic bets into detailed product briefs, guide cross-functional execution, validate demand through pilots, and remain accountable for product metrics and business outcomes through launch.

Lead high-impact consumer data science initiatives across experimentation, causal inference, analytics, search, personalization, and product measurement. Set technical standards and multi-quarter analytics roadmaps, mentor data scientists, develop AI-native workflows and self-service tools, and communicate recommendations to product, engineering, and executive stakeholders. The role requires independent ownership of ambiguous analytical problems and technical leadership without formal people management.

Lead the vision, strategy, and roadmap for AI-native client products, internal tools, data products, and enterprise integrations. Partner with executives, engineering, data science, legal, and business teams to identify valuable AI applications, define technical and data foundations, establish quality and trust standards, build business cases, and scale capabilities from prototype to production. Shape data access and partnership strategies while balancing client value, governance, cost, and commercial considerations.

Leads technical direction and architecture for scalable full-stack applications across web, mobile, backend, and platform systems. Designs complex services, mentors engineers, drives code quality and engineering practices, troubleshoots production issues, evaluates technologies, contributes to the roadmap, and supports recruiting and onboarding.

Leads Realtor.com’s centralized Data & Analytics organization across data engineering, governance, data science, analytics, experimentation, pricing, and commercialization. Defines enterprise data strategy and architecture, oversees AI and advanced analytics initiatives, develops pricing and revenue management frameworks, drives lead intelligence, and translates complex insights into executive decisions. Builds and scales multidisciplinary teams while partnering with product, commercial, sales, and go-to-market leaders.

Leads the CRM and personalization operations ecosystem across Braze, Cordial, Segment Engage, Hightouch, and Snowflake. Oversees Agile delivery, platform health, data integrations, vendor relationships, AI decisioning pilots, and marketing technology migrations. Partners with Marketing, Product, Engineering, Data Science, and Analytics while representing operational performance to executives. Manages and mentors CRM and CDP operations developers, removes delivery blockers, and drives AI-enabled productivity and campaign execution.

Own the strategy, development, automation, and optimization of paid search platforms and workflows across Google and Microsoft Ads. Lead cross-functional teams to build AI-enabled SEM capabilities for bidding, budgeting, campaign management, ad creation, feed management, experimentation, and performance measurement. Translate growth objectives into scalable technical products, guide Agile delivery, manage platform integrations, and ensure operational reliability and efficiency.

Leads multiple product experience squads, overseeing people development, staffing, delivery, craft quality, research rigor, launch readiness, and post-launch improvement. The role coaches senior individual contributors, establishes operating standards, ensures evidence-based decisions, partners with Product, Engineering, Marketing, and Platform teams, and develops responsible AI practices. It requires accountability for outcomes across multiple teams and substantial people-management experience.

Lead end-to-end product design across consumer and client-facing web and mobile experiences. Partner with product, engineering, research, marketing, brand, and design teams to understand user problems, create user flows, develop polished interfaces, facilitate workshops, and deliver shipped products. Contribute to the design system, communicate design rationale, uphold design quality, and independently manage complex design initiatives throughout the product lifecycle.

Owns analytics for Spotlight Listings, including KPI frameworks, executive dashboards, inventory capacity modeling, pricing and packaging experiments, revenue reporting, data quality, and marketplace measurement. Partners with Product, Marketing, Sales, Engineering, and FP&A to guide commercial decisions, improve product performance, and identify renewal risks. Requires advanced SQL and Python skills, causal inference expertise, experimental design experience, and the ability to translate analysis into measurable revenue or product impact.

Develop and maintain scalable backend applications and search platform features for real estate users. Design AWS-based search pipelines, build microservices, optimize developer tooling and automated deployments, and collaborate with product stakeholders and Agile/Scrum teams. Prototype emerging technologies, improve system reliability and quality, and contribute to scalable consumer-facing applications using Node.js, Python, TypeScript, Java, Docker, Elasticsearch, and Jenkins.