Jobs at Realtor.com

Manage end-to-end background screening, adjudication, adverse action workflows, I-9 and E-Verify compliance, onboarding operations, audits, and candidate communications. Serve as the onboarding subject matter expert while partnering with Talent Acquisition, HR, IT, Finance, and other teams. Improve onboarding through AI, automation, process optimization, and data hygiene while ensuring compliance with FCRA, EEOC guidance, Fair Chance laws, and company policies.

Develop and support Salesforce applications across Sales, Marketing, and Service Cloud. Gather requirements, design technical solutions, configure and customize Salesforce, build Agentforce agents and bots, develop Apex, LWC, Visualforce, and integrations, troubleshoot production issues, manage deployments, and support Agile/Scrum delivery. The role partners closely with business, product, sales, marketing, service, and technology stakeholders.

Manage P&L forecasting and budgeting for business units, provide strategic financial advice, perform variance and business-case analysis, prepare executive reports, and oversee headcount and accrual accuracy. Build driver-based financial models and dashboards using Adaptive, Excel, and Google Sheets. Lead process improvements, apply AI tools to automate analysis and documentation, and maintain rigorous data and file organization while partnering with business leaders.

Leads workplace and facilities operations for an in-office location, including security, badge access, health and safety, business continuity, sustainability, space planning, events, vendors, work orders, shipping and receiving, supplies, office maintenance, and employee support. The role also coordinates contractors, manages workplace projects, performs hands-on building and furniture repairs, and supports enterprise facilities initiatives. Full-time onsite work, after-hours or weekend availability, and occasional travel may be required.

Own the frontend architecture for realtor.com’s Authentication & Identity platform across React and Next.js surfaces. Lead auth convergence, shared libraries, Auth0 and GraphQL integrations, passkeys, OAuth/OIDC, token and session management, reliability, observability, and high-risk migrations. Partner cross-functionally, mentor engineers, write architecture documentation, and govern AI-assisted development with strong security and maintainability standards.

Lead product strategy and roadmap for Realtor.com's client portfolio, including client-facing products, internal tools, scalable data products, and enterprise integrations. Define product vision, commercial models, pricing, packaging, and lead economics while partnering with engineering, data, legal, sales, and executive stakeholders. Build business cases, establish quality and trust standards, and deliver scalable capabilities that create client and business value.

Build and own AI safety systems for Realtor.com’s LLM-powered real-estate assistant. Responsibilities include developing Fair Housing and content-moderation classifiers, creating evaluation datasets and pipelines, measuring precision, recall, F1, and confusion matrices, integrating cloud guardrails, red-teaming for jailbreaks and prompt injection, managing Terraform infrastructure, and partnering with engineering, product, legal, and compliance teams to launch safe AI capabilities.

Own the strategy and roadmap for critical lead ingestion, delivery, or backend platform infrastructure. Partner with engineering on APIs, webhooks, architecture, and data contracts; manage SLAs, production issues, migrations, and legacy-service consolidation. Translate customer and internal requirements into product plans, documentation, and measurable outcomes while leading a dedicated engineering team and communicating tradeoffs to senior stakeholders.

Build and scale high-traffic full-stack features for Realtor.com’s News & Insights platform. Develop Node.js and TypeScript backend services, APIs, GraphQL schemas, data integrations, and React/Next.js frontend features. Own work from design through production, improve caching and performance, support CI/CD, monitoring, incident response, and reliability, and contribute to AI-powered hyperlocal content systems while collaborating with product, editorial, and engineering teams.

Own and scale growth marketing programs focused on acquisition and product-led growth. Manage multimillion-dollar investments, test emerging channels, build campaign infrastructure and creative, and develop measurement frameworks. Partner with Product, Engineering, Data Science, Finance, and Business Development to identify scalable growth levers. Translate analysis into strategic recommendations and use AI tools to accelerate landing page, creative, campaign, and workflow development while applying responsible AI practices.

Manage high-value consumer interactions through 300+ daily inbound and outbound calls, emails, and texts. Identify real estate goals, budgets, timelines, financing, and preferences; resolve issues; and connect consumers with premium real estate professionals. The role requires exceptional communication, objection handling, empathy, problem-solving, CRM and softphone proficiency, metrics-driven performance, and flexibility for evening or weekend shifts. This is a hybrid position requiring regular in-office work in Scottsdale, Arizona.

Owns experimentation, business analytics, reporting, and advanced analysis for Realtor.com’s RDC Next platform. The role analyzes consumer and agent behavior, designs A/B and quasi-experiments, builds trusted datasets and dashboards, and delivers recommendations that influence product and business strategy. It also develops AI-enabled analytics workflows using LLMs, RAG, and agentic tools; partners with Product, Engineering, Finance, Marketing, and data teams; mentors analysts; and helps establish analytical standards and scalable data solutions.

Provides inbound customer support to real estate agents and brokers by answering product, software, billing, and general inquiries. Maintains accurate Salesforce records, troubleshoots issues, resolves interactions efficiently, meets service and productivity goals, and collaborates with teammates. The role requires strong communication, multitasking, adaptability, product learning, reliable attendance, and comfort working in a high-volume phone-based environment.

Lead intelligence and revenue optimization through advanced forecasting, statistical modeling, scenario analysis, lead inventory allocation, yield optimization, KPI development, and executive reporting. Partner with Product, Technology, Pricing, and Engineering teams to implement data-driven allocation rules and improve lead delivery, conversion, revenue, and client experience across a national marketplace.

Own the measurement framework for a marketplace product, including KPIs, dashboards, instrumentation, reporting, experimentation, statistical modeling, forecasting, and opportunity sizing. Analyze product engagement, conversion funnels, feature performance, and NPS drivers. Partner with Product, Marketing, Sales, and data teams to deliver actionable insights, improve analytics capabilities, and influence commercial and product decisions.

Build, configure, integrate, troubleshoot, and support Salesforce applications across Sales, Marketing, and Service Cloud. Gather requirements, design technical solutions, develop Apex, LWC, Visualforce, and integrations, and lead Agentforce automation initiatives. Partner with business and technology stakeholders, manage production issues and change control, create documentation, and apply Agile/Scrum practices.

Leads the strategy, roadmap, and execution for owner and seller CRM products. Owns omnichannel campaigns across email, push, and in-product messaging, driving engagement, retention, conversions, leads, and revenue. Partners with engineering, marketing, analytics, machine learning, research, and design teams to develop campaigns, improve data capabilities, prioritize initiatives, manage execution, track KPIs, and communicate business results to senior leaders.

Lead experimentation, product analytics, and reporting for Owners and Sellers. Conduct exploratory, descriptive, statistical, and predictive analyses; design multivariate tests; define success metrics; and translate consumer behavior insights into product and business strategy. Build AI-enabled self-service reporting, improve tracking and data quality, and develop scalable ETL pipelines while partnering with Product, Engineering, Finance, Marketing, and Business Intelligence teams.

Generate new business through 100+ daily outbound calls to real estate agents and brokers, selling lead generation, marketing, seller, and branding solutions. Use scripts to communicate product value, overcome objections, follow up with prospects, achieve sales and compliance KPIs, and manage customer interactions through Salesforce or other CRM platforms.

Leads consumer data science strategy and high-impact analytical initiatives, including experimentation, causal inference, measurement frameworks, and AI-assisted analytics. Partners with Product, Engineering, and executives to shape roadmaps, define metrics, communicate recommendations, and prioritize business opportunities. Mentors data scientists, establishes technical standards, and develops scalable self-service analytics capabilities using modern data and AI tools.