Note: The job is a remote job and is open to candidates in USA. Zillow is reimagining how people navigate the real estate market. The Senior AI-Native Product Engineer will build systems that enhance customer experiences and support real estate professionals, turning ambiguous problems into measurable products.
Responsibilities
- The problem, not just the ticket. You will take loosely defined ideas and turn them into clear plans with tradeoffs, edge cases, success metrics, and a path to production
- The solution, with partners. You will work closely with product managers, designers, data partners, and other engineers to shape solutions, challenge assumptions, and improve the customer experience
- Tools and workflows. You will build systems that real estate professionals and internal product teams rely on to manage experiences, test ideas, and support customers throughout their journey
- The build, across the stack. You will go where the problem lives: user experience, services, APIs, data models, instrumentation, and operational workflows
- The launch. You will ship with the right testing strategy, rollout plan, monitoring, and safeguards for the level of risk
- The outcome. You will follow your work into production, learn from customer behavior and metrics, and continue improving what you build over time
- The team around you. You will raise the bar through code reviews, technical discussions, mentoring, and the standards you set in day-to-day work
Skills
- Significant experience building and shipping software in product environments where engineers own work beyond implementation
- A track record of owning features or product areas from concept through launch and post-launch iteration
- Strong engineering fundamentals, including system design, testing strategy, debugging, maintainability, and operational readiness
- Strong product and business judgment, including the ability to connect technical decisions to customer impact and company goals
- Enough full-stack range to move across user experience, services, APIs, and data concerns when the problem requires it
- Experience collaborating closely with product managers, designers, and data partners on customer-facing or workflow-heavy products
- Practical experience using AI-assisted development tools or automation as part of day-to-day engineering work
- Clear written and verbal communication in English, including the ability to write specs, explain tradeoffs, and drive decisions asynchronously
- Evidence of leadership through ownership, influence, and decision-making, not only through formal title
Benefits
- In addition to a competitive base salary this position is also eligible for equity awards based on factors such as experience, performance and location. Actual amounts will vary depending on experience, performance and location.
- Employees in this role will not be paid below the salary threshold for exempt employees in the state where they reside.
Company Overview
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