Senior AI-Native Product Engineer, Full Stack

The Metro team works on the systems that shape how customers connect with real estate agents on Zillow. We build tools that real estate professionals rely on to run their business, along with systems that product teams use to shape customer experiences across the home buying and selling journey. This is not a standard Senior Software Development Engineer role. On the Metro team, you’ll build the systems behind how Zillow customers find help, schedule tours, and connect with agents. We’re looking for engineers who can turn ambiguous problems into shipped, measurable, and reliable 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

Requirements

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

Eligible for equity awards based on factors such as experience, performance and location