Zillow
Consumer · Real estate marketplace
Zillow has 38 active AI-related job listings. The majority of these roles, 66%, are focused on agents. Engineering is the dominant function, with 26 roles. Frequent tech tags include agent_orchestration, evals, and model_serving, suggesting a focus on deploying and managing AI agents. In the last 30 days, Zillow posted 16 new AI roles, representing a 220% increase compared to the previous 30-day period.
Consumer · Real estate marketplace
Currently tracking 28 active AI roles, down 34% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $104k–$432k (avg $205k).
Zillow currently has 34 active AI-related roles in our index. The most common open titles are: Principal Machine Learning Engineer, Agentic AI (2), Senior Data Scientist (2), Senior Machine Learning Engineer (2), Applied Scientist, Forecasting, Applied Scientist, New Construction. Most positions are in Engineering and Product.
Zillow's active AI hiring is concentrated in: agents (65%), application (24%), serving infrastructure (6%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Zillow is hiring AI talent in: United States (26 roles), Mexico (6 roles), India (1 role), Germany (1 role).
Job postings at Zillow most frequently reference: agent orchestration, model serving, llm observability, evals, tool use.
In the past 30 days, Zillow has posted 6 new AI-related roles. That is a -65% change versus the prior 30 days (17 → 6).
| Title | Stage | AI score |
|---|---|---|
| Applied Scientist, Forecasting Applied Scientist role focused on designing, evaluating, and deploying statistical, econometric, and machine learning methods for forecasting problems within Zillow. The role involves the end-to-end modeling lifecycle, from data engineering and feature creation to model deployment, monitoring, and explainability, with a strong emphasis on translating forecasts into actionable business insights and recommendations for senior leadership. Collaboration with cross-functional teams and improvement of shared forecasting tools and data pipelines are also key responsibilities. | Ship | 7 |
| Fraud Operations Consultant, Rentals This role investigates listing-related issues and customer concerns for Zillow's national brands, providing a human review for issues software cannot resolve. The consultant will also identify trends, suggest resolutions, and provide feedback to product and engineering teams. Experience in fraud operations on an e-commerce platform and strong data analytic skills are required. |
| — |
| 0 |
| Senior Analyst, Financial Systems This role is for a Senior Analyst, Financial Systems at Zillow, focusing on improving financial forecasting within the Anaplan platform. Responsibilities include configuring, coding, testing, and debugging Anaplan applications, building and optimizing enterprise planning models, architecting data integration pipelines between Anaplan and other systems like Databricks, and driving technical design and UAT. The role requires strong Anaplan technical expertise, integration and data engineering skills, and financial planning experience. | — | 0 |
| Mortgage Disclosure Analyst This role focuses on ensuring the accuracy and compliance of mortgage disclosures, specifically the Closing Disclosure (CD), within Zillow's Post-Closing team. It involves reconciling final loan documentation, maintaining records in the Loan Origination System (LOS), and adhering to regulatory timelines. The position requires a strong understanding of mortgage compliance regulations and detail-oriented work to provide customers with a complete and accurate record of their loan. | — | 0 |
| Title Review Specialist This role is responsible for reviewing U.S. residential title commitments and related title documents to assess and mitigate collateral and lien risk for Zillow Home Loans. The specialist will ensure clear, insurable title and appropriate lien position, working closely with the processing team and tangential to underwriting. The role focuses on quality, efficiency, and process discipline, aiming to streamline mortgage operations and reduce post-close defects. It also involves collaborating with cross-functional teams and contributing to building a new capability by surfacing defect patterns and participating in knowledge sharing. | — | 0 |
| Senior Manager, Ads and Marketing Data Science This role leads a team of data scientists focused on marketing analytics, including Marketing Mix Modeling, incrementality testing, attribution, and performance analytics. The team builds and maintains measurement frameworks, causal models, and analytical infrastructure to inform marketing budget allocation, channel strategy, and growth planning. The role requires deep technical expertise in marketing measurement and causal inference, as well as people leadership skills to build and manage a high-performing team. | — | 0 |