Zillow.

Real estate tech combines geographic data, ML valuations, marketplace dynamics, and financial services. Building accurate automated home valuations requires incorporating hundreds of data signals including comparable sales, market trends, and property characteristics. Understanding how to build and evaluate these models shows relevant domain knowledge.

Map based property search is central to Zillow's experience. Expect system design questions about geospatial indexing, map tile rendering, filtering large datasets by location, and delivering responsive search results as users pan and zoom. Understanding spatial data structures and how to optimize geographic queries at scale is valuable.

Zillow receives a high volume of applications for most openings, making the selection process competitive. Standing out requires a tailored resume, strong interview preparation, and clear articulation of how your skills match the specific role and team needs.

Research Zillow thoroughly, practice common interview questions for your role, prepare 3 to 5 stories using the STAR method, and prepare thoughtful questions to ask the interviewer. Using a tool like Orbyt can generate tailored questions specific to Zillow and your role.

For Zillow, business casual is generally a safe choice for most roles. Tech and creative roles tend to be more casual, while finance, consulting, and executive positions lean toward business professional. When in doubt, ask your recruiter.

Zillow is known for its distinctive workplace culture that shapes the interview experience. Understanding the company values, mission, and work style before your interview helps you demonstrate cultural alignment, which is a key evaluation criteria alongside technical skills.

Zillow offers relocation packages for many full time roles, though specifics vary by position and location. It is best to discuss relocation support with your recruiter during the initial screening phase so you can factor it into your decision.