Zillow Group
Senior Manager, Preferred
Remote-USA · Senior
Stay score
odds of building a lasting career here
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →Employer immigration record
from this employer's Department of Labor filings
Green-card filing pattern in this occupation
Green-card follow-through: 100%
Files H-1B transfers
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.
Community outcomes
No reports yet — be the first to help the next applicant.
About the role
- You will help define when AI should handle the work, when humans should step in, and how to continuously improve the model over time.
Responsibilities
- Operationalize AI powered partner support strategy
- Translate company and segment strategy into clear workflows, team expectations, coaching practices, and cross-functional routines that help Growth Specialists, managers, AI tooling, and partners work together to drive partner outcomes.
- Lead a high impact team through transformation
- Lead and develop a team of Growth Specialists, setting a high bar for judgment, accountability, coaching quality, and customer impact.
- Build an organization that learns how to operate effectively in a tech-enabled environment-where teams use AI, signals, and workflows to prioritize work, but apply human judgment to nuanced, high-stakes, or ambiguous situations.
- Recruit, coach, and retain high performing talent who can develop others, operate with resilience in ambiguity, and reinforce a culture of innovation, inclusion, ownership, and high performance.
- Build and run the operating system for scale
- Establish the operating cadences, performance reviews, escalation paths, quality mechanisms, and inspection rhythms that make this support model measurable, repeatable, and scalable.
- Drive partner success and growth through the team
Requirements
- Comfortable with and pragmatic about AI-enabled workflows, with the ability to help teams adopt new tools responsibly and apply human judgment where it matters.
Nice to have
- experience leading leaders or scaled frontline organizations is preferred.
Compensation
- In California, Connecticut, Maryland, Massachusetts, New Jersey, New York, Washington state, and Washington DC the standard base pay range for this role is $155,200.00 - $247,800.00 annually.
Benefits
- Use leading indicators, alerts, and partner health signals to prioritize where the team should intervene, and ensure interventions are timely, strategic, and tied to measurable outcomes.
- Ensure your organization helps partners adopt Zillow tools, improve operational performance, and grow in ways that benefit both the partner and the customer experience.
Company info
- The Zillow Preferred team partners with top real estate professionals to help them deliver outstanding experiences for home shoppers through a combination of strong partnership, operational excellence, and differentiated Zillow products.
- Today, that means more than simply supporting partners through a high-touch human model.
- It means building the next generation of partner success:
- AI-powered where it should be, human-led where it matters most, and always grounded in customer outcomes.
- We are evolving toward a more scalable support model inside Preferred-one that combines self-service, proactive monitoring, AI-guided support, and human-in-the-loop intervention to help more partners succeed without sacrificing quality, trust, or growth.
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
This listing is sourced directly from Zillow Group's careers page and normalized into a canonical job model.