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Principal Product Manager

Remote
Principal Engineer Data Leader Data Engineering Manager Artificial Intelligence Engineer Machine Learning Engineer Product Manager Product Leader Product Owner
Actively hiring

Principal Product Manager

Zillow
Remote
Principal Engineer Data Leader Data Engineering Manager Artificial Intelligence Engineer Machine Learning Engineer Product Manager Product Leader Product Owner
Zillow
Actively hiring

hackajob is partnering with Zillow to fill this position. Create a profile to be automatically considered for this role—and others that match your experience.

 

About the team

Zillow Group is revolutionizing the way people unlock life's next chapter! We're on a mission to help high-intent movers find and win their home through digital solutions, first class partners, and easier buying, selling, financing, and renting experiences; and we're at the forefront of industry-leading innovation.

 

Zillow’s Real Estate Data team powers the data foundation behind Zillow’s consumer and industry-facing products. Our mission is to make high-quality real estate data easily accessible and actionable across Zillow Group. We partner closely with engineering, AI/ML, analytics, and operations teams to build platforms that ingest, normalize, secure, and activate numerous sources of real estate data – including all of the listings and public data our customers see on Zillow.com.

About the role

 

As the Principal Product Manager for Industry Data Ingestion, you will define, own, and execute on the product strategy and roadmap to modernize Zillow’s listing ingestion platform and data operations workflows through AI and automation.  Working alongside other cross-functional product, engineering, operations, legal, and industry partners, you will have a significant impact on Zillow Group’s ability to execute on its ambitious goals by driving our ability to modernize and scale support for listing data to meet the needs of the entire company.  As MLS Data is one of our more complex legal domains, you will also play a key role in leading efforts across the entire Real Estate Data product and engineering organization to simplify and streamline role and permissions access for our data customers. 

 

In this role, you will:

  • Own the product strategy and roadmap for improving our listing data platform with AI and automation

  • Partner closely with our data operations teams to identify critical pain points and increase our ability to sustainably scale

  • Build and launch AI-powered workflows to automate and streamline manual processes

  • Drive the design and adoption of simplified data access patterns across Real Estate Data products, starting with MLS Data

  • Establish and monitor key data health metrics, including anomaly detection and reporting alerts

  • Support cross-functional initiatives that span the entire Zillow Group suite of products from shoppers, to renters, to agents, and more

 

Required qualifications:

  • 8+ years of product management experience working on data platforms and AI/ML infrastructure

  • Proven experience applying AI to streamline workflows or internal tools at scale

  • Deep understanding of data ingestion, normalization, and access control patterns in modern data ecosystems

  • Strong cross-functional leadership skills, with a track record of leading initiatives across organizational boundaries

  • Systems thinker with a history of delivering scalable platforms that improve operational efficiency and reduce manual effort

  • Excellent written and verbal communication skills, with the ability to simplify complex technical concepts for diverse audiences

Preferred qualifications:

  • Familiarity with the modern data stack (e.g., Databricks, dbt, Snowflake, or similar tools)

  • Experience building internal tooling or platforms for data, operations, or other internal data customers

  • Prior work integrating complex third-party data sources — MLS or otherwise — into internal platforms or customer experiences

hackajob is partnering with Zillow to fill this position. Create a profile to be automatically considered for this role—and others that match your experience.

 

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