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.
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 |
|---|---|---|
| Senior Technical Product Manager, Marketing Technology Product Manager for Zillow's Customer Data Platform (CDP) and marketing technology tools. Owns CDP roadmap, data flow, marketer discovery and usage, and platform evolution. Focuses on translating marketing needs into product decisions regarding data, tooling, and integrations. Manages stakeholder relationships, scopes work for the CDP technologist team, leads integrations, manages vendor relationships, and improves marketer workflows for data discovery, audience building, and performance measurement. Requires hands-on CDP/martech experience, ability to translate needs into capabilities, lead through influence, strong written communication, roadmap prioritization skills, understanding of data models/schemas, and experience with AI tools in their own work. | — | 5 |