Senior AI Program Manager, Talent

Zillow

20h•$103,500 - $174,000•Remote

About The Position

Zillow's Talent Enablement team is building the infrastructure for smarter, more personalized employee experiences. We're partnering across the Talent organization — Talent Acquisition, Talent Management, People Analytics, People Product and People Tech — to identify where AI can create real, lasting impact in how we hire, develop, and support our people. This is early-stage, high-visibility work, and we're moving fast. We're looking for an AI Program Manager who can bridge Talent's biggest workflow challenges with what's practical and buildable with today's AI tools. You're someone who can identify a high-value problem, scope a solution, and put a working prototype in front of stakeholders — without waiting on an engineering team to get started. This isn't a traditional PM role or an engineering role. It lives in the space between: someone with a working knowledge of Talent processes and enough AI fluency to build, test, and iterate quickly. You'll take ideas from prototype to product requirements, partnering closely with engineering to get solutions into production.

Requirements

5–8 years of experience in product management, applied AI, HR technology, or a closely related field — ideally spanning both a Talent/HR function and a product or technical environment.
Hands-on experience building with AI: you've used LLM APIs, prompt engineering, and workflow automation tools to create working prototypes and functional solutions.
Experience taking a solution from concept through to deployment, including navigating organizational and data infrastructure realities.
Working knowledge of core Talent processes — Talent Acquisition, Talent Management, Compensation, Talent Operations — and how data and workflows underpin them.
Comfort with data: you can query a dataset, read analytics, and contribute to measurement frameworks without needing a data scientist for every question.
Strong communication skills — you can explain AI capabilities clearly to non-technical Talent leaders, and translate business problems into specific, buildable solutions for engineers.
Ability to manage ambiguity and execute in a fast-moving environment with evolving tools and priorities.

Nice To Haves

Familiarity with agentic frameworks (e.g., LangChain, CrewAI) and AI-native tools is a meaningful advantage.
Familiarity with HR technology platforms such as Workday or Eightfold is a plus.

Responsibilities

Partner with Talent teams to identify and prioritize AI opportunities that address real workflow pain points — distinguishing high-leverage use cases from novelty.
Build working AI prototypes using LLM APIs, prompt engineering, and workflow automation tools, creating functional demos stakeholders can react to before engineering resources are engaged.
Develop a working understanding of Talent's data landscape and processes to identify where AI can create durable value.
Translate validated prototypes into clear product requirements and partner with engineering to move from proof-of-concept to production.
Participate in technical design discussions, helping bridge Talent's needs with what engineering is building.
Contribute to evaluating AI tools, platforms, and vendors — building a perspective on what to adopt, integrate, or build.
Help develop the playbooks, prompting guides, and workflow templates that enable Talent teams to get real leverage from AI tools.
Support Talent team members in building AI fluency through shared examples and clear frameworks for when and how to use AI.
Ensure AI solutions are designed with data privacy, security, and fairness in mind — looping in Legal, Infosec, and other partners early in the process.
Contribute to tracking and reporting on AI tool adoption, engagement, and business outcomes across the Talent function.