Note: The job is a remote job and is open to candidates in USA. Zillow is hiring a Principal Product Manager to lead the technical product direction of its shared agentic AI platform. The role connects the core agent platform, data platforms, and experience teams, shaping platform capabilities and helping teams build and launch AI agents across Zillow.
Responsibilities
- Contracts, registry, and gateway: how agents, tools, and context sources are registered, discovered, and governed, with contract adherence checked at the edge rather than enforced through central control
- Developer experience: paved paths, reference integrations, and onboarding that cut time-to-first-agent for a new team
- Context and memory: how user and domain context is captured, curated, and delivered into agent context windows, with privacy and user controls built in
- Harness, orchestration, and evals: working with fellow PMs and engineers so the shared agent runtime and quality standards fit together and hold up across the whole customer experience
- You will do this in close partnership with fellow product managers, engineers, and scientists, so that these pieces fit together into one coherent platform and one coherent customer experience
- Shape the platform roadmap with fellow PMs, engineering, and science partners, translating product and customer needs into clear technical requirements the platform can build against
- Run a proving-team operating model: onboard 2-3 flagship experience teams, define graduation criteria, then scale to the next wave
- Make the open architecture decisions and get them closed, each with a named decider and a date
- Turn cross-org dependencies into explicit commitments: named owners on both sides, capacity range, re-plan date, and exit criteria
- Bridge traditional engineering and agentic science and data needs, helping teams work through "source of truth" debates, one-way-door schema decisions, facts versus inferences, and the hill-climbing process
- Define and instrument platform success: reuse, time-to-first-agent, cost per team, and coherence of the experience across surfaces
- Keep a clear "what we're not building" list and share it openly with experience teams
Skills
- Bachelor's degree in Computer Science, Computer Engineering, Data Science, or a related technical field
- 10+ years in product management, including platform or infrastructure products whose customers were other product and engineering teams
- Hands-on depth with LLM and agentic systems: orchestration, context engineering, memory and RAG, and eval design
- A track record of driving adoption through influence across organizations with different incentives and roadmaps
- The ability to write concise, compelling, decision-forcing docs at SVP level, then run the execution beneath them
- Comfort with ambiguity and contested ownership. You settle scope disputes by redrawing the boundary, not by escalating
- The human touch to get the right people in a room across engineering, science, and domain teams, and turn differing viewpoints into better decisions
- Data mesh or federated data platform experience
- Experience with experimentation and A/B testing on AI features
- Consumer marketplace or two-sided (consumer plus professional) product experience
Benefits
- Eligible for equity awards based on factors such as experience, performance and location.
- Most employees have the flexibility to work from wherever they’re most productive through Cloud HQ.
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