Zillow is a leading real estate platform focused on helping customers navigate buying, selling, financing, and renting with greater ease. As a Senior Technical Program Manager in Product Development Acceleration, you will lead the development of AI-enabled tools that enhance product decision-making and execution across teams. This role involves defining strategic roadmaps, building impactful internal tools, and driving cross-functional collaboration to ensure successful delivery and adoption.
Responsibilities:
- Own and evolve research’s Product Dev Acceleration solutions suite, ensuring it delivers measurable impact across Product, Design, and Business teams
- Partner with leadership and cross-functional stakeholders to shape, sequence, and operationalize the portfolio roadmap, bringing technical constraints, dependency mapping, and risk analysis into roadmap decisions
- Translate strategic initiatives into structured technical programs, defining milestones, success criteria, risk mitigations, and cross-team dependencies to ensure reliable delivery
- As a connective layer across Research, Product, Eng, and Design, Identify, surface, and mitigate technical, organizational, and dependency risks across the portfolio, proactively resolving blockers before they impact delivery
- Measure success through usage, reliability, and learning impact metrics, and iterate based on evidence
- Architect, build, and iterate AI-native tools using modern AI coding environments and agentic frameworks, without dedicated engineering headcount
- Make technical architecture and feature prioritization decisions that ensure scalability, usability, and long-term durability, with embedded responsible AI practices and data privacy safeguards
- Lead cross-functional change management to embed the portfolio’s capabilities into existing operational rhythms (planning, documentation, review processes), reducing friction and ensuring durable integration
Requirements:
- A technical leader with experience using modern AI tools to solve business problems; demonstrated experience designing, building, and maintaining durable internal software systems that serve internal business users
- Strong technical fluency in applied AI and system design, with hands-on experience using modern AI coding environments (e.g., Replit, Claude Code) to prototype and scale solutions
- Able to independently lead and build in ambiguous environments, learning quickly to harness evolving AI capabilities
- Demonstrated fluency across product, program, and technical domains, with the ability to flex across these areas depending on program needs with a focus on scalable operating models
- Proven experience leading complex, multi-stakeholder technical programs in high-ambiguity environments, influencing without formal authority
- Data-driven and pragmatic, using metrics, reliability indicators, and adoption signals to iteratively improve system performance and impact
- Thoughtful about responsible AI and data governance, proactively embedding safeguards into technical design