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Zillow
Zillow

Leading company in the technology industry

Senior Product Manager, Search Intelligence

직무프로덕트
경력시니어급
위치Remote-USA, United States
근무원격
고용정규직
게시1개월 전
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About the team

The Search team is redefining how people find and fall in love with homes.

We are evolving Zillow’s search experience from a traditional filter-and-scroll interface into an agentic journey-aware partner powered by the full depth of Zillow’s data in order to deliver richer results, insights and opportunities to ultimately guide movers home with clarity and confidence.

Search is the front door to Zillow. It’s where curiosity turns into intent, and intent turns into action.

About the role

As a Senior Product Manager, Search Experience, you will define and deliver the next generation of home search. You’ll shape how deterministic systems (filters, ranking, sort) work together with probabilistic AI systems (semantic search, conversational interfaces, agentic workflows) to create intuitive, trustworthy, and high-performing consumer experiences.

You will lead high-impact initiatives that reimagine how users express intent, from typed queries to natural language to AI-assisted exploration, and translate emerging AI capabilities into cohesive product experiences at Zillow scale.

This role requires strong consumer search instincts, fluency in non-deterministic systems, and the ability to balance innovation with trust in a high-stakes decision journey.

As a Senior Product Manager, you’ll add your strategic thinking, customer obsession, and AI product fluency to a team that values clarity, speed, experimentation, and measurable impact.

You Will Get To:

  • Define and drive strategy for Zillow’s Core Search Experience across Web, iOS, and Android.

  • Build modern, personalized search experiences that combine structured filters, agentic skills, semantic retrieval, and AI-driven guidance to deliver truly delightful and modern experiences that help people move.

  • Develop modern agentic experiences that support and empower shoppers so they can move forward with confidence.

  • Establish evaluation frameworks for AI-powered systems, including quality metrics and experimentation approaches beyond traditional A/B testing.

  • Partner with engineering, applied scientists, designers, and data teams to ship scalable, high-performance experiences.

  • Balance innovation with reliability, ensuring AI outputs meet strict standards for accuracy, fairness, and safety.

This role has been categorized as a Remote position. “Remote” employees do not have a permanent corporate office workplace and, instead, work from a physical location of their choice, which must be identified to the Company. U.S. employees may live in any of the 50 United States, with limited exceptions.

In California, Connecticut, Maryland, Massachusetts, New Jersey, New York, Washington state, and Washington DC the standard base pay range for this role is $148,600.00 - $237,400.00 annually. This base pay range is specific to these locations and may not be applicable to other locations.

In Colorado, Hawaii, Illinois, Minnesota, Nevada, Ohio, Rhode Island, and Vermont the standard base pay range for this role is $141,200.00 - $225,600.00 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. Actual amounts will vary depending on 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.

Who you are

  • 6–10+ years of product management experience, including meaningful ownership of consumer search, discovery, marketplace, or recommendation systems.

  • Experience building or scaling AI-powered or non-deterministic user experiences (e.g., semantic search, conversational UX, LLM-powered systems, ranking systems).

  • Deep understanding of consumer search behavior and intent modeling in complex decision journeys.

  • Strong fluency in modern AI concepts such as LLM evaluation frameworks, prompt/context management, and probabilistic outputs.

  • Proven ability to define success metrics for AI-driven systems that go beyond clicks and page views.

  • Strong cross-functional leadership skills, with a track record of aligning engineering, design, data science, and business stakeholders with clear storytelling.

  • Analytical, structured thinker who thrives in ambiguity and moves quickly from insight to execution.

  • Customer-obsessed and quality-driven, especially with systems that have real-world connection and impact.

Get to know us

At Zillow, we’re reimagining how people move—through the real estate market and through their careers. As the most-visited real estate platform in the U.S., we help customers navigate buying, selling, financing and renting with greater ease and confidence. Whether you're working in tech, sales, operations, or design, you’ll be part of a company that's reshaping an industry and helping more people make home a reality.

Zillow is honored to be recognized among the best workplaces in the country. Zillow was named one of FORTUNE 100 Best Companies to Work For® in 2025, and included on the PEOPLE Companies That Care® 2025 list, reflecting our commitment to creating an innovative, inclusive, and engaging culture where employees are empowered to grow.

No matter where you sit in the organization, your work will help drive innovation, support our customers, and move the industry—and your career—forward, together.

Zillow Group is an equal opportunity employer committed to fostering an inclusive, innovative environment with the best employees. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please contact your recruiter directly.

Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable state and local law.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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Zillow 소개

Zillow

Zillow

Public

Zillow Group, Inc., or simply Zillow, is an American tech real-estate marketplace company that was founded in 2006 by co-executive chairmen Rich Barton and Lloyd Frink, former Microsoft executives and founders of Microsoft spin-off Expedia; Spencer Rascoff, a co-founder of Hotwire.com; David...

1,001-5,000

직원 수

Seattle

본사 위치

$10.3B

기업 가치

리뷰

10개 리뷰

3.7

10개 리뷰

워라밸

4.0

보상

3.5

문화

3.8

커리어

4.0

경영진

2.5

65%

지인 추천률

장점

Excellent benefits

Great work culture

Work-life balance

단점

Weak management and leadership issues

Below-market compensation

Aggressive quotas and expectations

연봉 정보

35개 데이터

Junior/L3

L6

L7

Mid/L4

Principal/L7

Senior/L5

Staff/L6

Director

L3

L4

L5

Junior/L3 · Product Manager P2

0개 리포트

$101,500

총 연봉

기본급

-

주식

-

보너스

-

$86,275

$116,725

면접 후기

후기 2개

난이도

3.0

/ 5

소요 기간

14-28주

면접 과정

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Behavioral Interview

5

Onsite/Virtual Interviews

6

Offer

자주 나오는 질문

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

Past Experience

Culture Fit