Zillow Group

Zillow Group

Senior AI Program Manager, Talent

Remote-USA · Senior

Sponsorship not specified$109k-$174kDetected 53 days ago
ReactData ScienceLLMsCybersecurityProduct ManagementRecruitingHRISCustomer SupportCommunication

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odds of building a lasting career here

59Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds (Level III)83
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~45% per draw at Level III). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

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Employer immigration record

from this employer's Department of Labor filings

Green-card filing pattern in this occupation

Context, not a finding about this posting: of this employer's 26 green-card filings in this occupation, 100% were for a worker who already held the job.

Green-card follow-through: 100%

Of 21 labor certifications old enough to have been used, 0 expired without the employer filing the next step. Median time from filing to decision: 510 days.100% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.

Files H-1B transfers

9 transfer filings in the last year, covering 9 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • 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.

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.

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.
  • Comfort with data: you can query a dataset, read analytics, and contribute to measurement frameworks without needing a data scientist for every question.

Nice to have

  • Familiarity with agentic frameworks (e.g., LangChain, CrewAI) and AI-native tools is a meaningful advantage.
  • 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.
  • Familiarity with HR technology platforms such as Workday or Eightfold is a plus.
  • Strong communication skills - you can explain AI capabilities clearly to non-technical Talent leaders, and translate business problems into specific, buildable solutions for engineers.

Compensation

  • In California, Connecticut, Maryland, Massachusetts, New Jersey, New York, Washington state, and Washington DC the standard base pay range for this role is $109,000.00 - $174,000.00 annually.
  • This base pay range is specific to these locations and may not be applicable to other locations.In Colorado, Hawaii, Illinois, Maine, Minnesota, Nevada, Ohio, Rhode Island, Vermont, and Virginia the standard base pay range for this role is $103,500.00 - $165,300.00 annually.
  • The base pay range is specific to these locations and may not be applicable to other locations.
  • In addition to a competitive base salary this position is also eligible for equity awards based on factors such as 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 info

  • 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.

Visa & Work Authorization

  • al employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status
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This listing is sourced directly from Zillow Group's careers page and normalized into a canonical job model.