Principal Product Manager, Product Development Platforms

Zillow

1d•$173,000 - $290,900•Remote

About The Position

The Principal Product Manager, Product Development Platforms will shape how Zillow builds products by owning the strategy, roadmap, and delivery of AI-first platforms for product planning, delivery, and knowledge sharing. The role partners with the Product Accelerator team to determine how platforms work together, where to invest, and which tools to retire. It is a new, evolving position for a product leader who can turn ambitious ideas into practical solutions and prioritize important problems. The role owns Zillow’s product development platforms and builder tools, including the current portfolio of Replit, Atlassian, and Airtable. It works with Engineering and technical program managers to deliver platform features and improvements; defines product and engineering support models; manages vendor relationships and budget input; and measures adoption and value. The position also develops documentation, training, and self-service support to enable adoption, and mentors product managers and cross-functional partners while demonstrating AI-native product practices. This role is categorized as Remote. Remote employees do not have a permanent corporate office workplace and 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 states, with limited exceptions.

Requirements

10+ years of product management experience with technical products, such as platforms, internal tools, developer tools, or enterprise software.
Experience owning a platform end to end, including strategy, roadmap, adoption, vendor management, and renewal.
Use AI building tools such as Claude, Replit, Cursor, or similar tools at work; ability to prototype with them and explain how they have improved the product development approach.
Excitement about how AI is changing work and ability to adapt as tools, workflows, and priorities evolve.
Understanding of security, compliance, and governance considerations for platforms that enable people without engineering backgrounds to build and deploy software.
Technical fluency to lead platform design and architecture trade-off discussions in partnership with Engineering and Security.
Ability to work autonomously in ambiguous environments, identify problems worth solving, and provide trusted direction to other teams.
Ability to influence senior leaders across Product, Engineering, Design, Security, Legal, and Finance, and communicate complex ideas clearly and concisely.
Experience mentoring other product managers.
Bachelor’s degree or equivalent experience.

Nice To Haves

Experience owning Atlassian tools as a product manager at enterprise scale.
Experience with Replit, Claude, and/or Glean.
Experience with source control and continuous integration and delivery (CI/CD) tools such as GitLab, and cloud platforms such as AWS.

Responsibilities

Set the vision and strategy for Zillow’s product development platforms and builder tools, translating the direction into near-term priorities and identifying core platforms, temporary solutions, and tools to retire.
Develop business cases and recommendations to build, buy, renew, migrate, or retire platforms.
Represent platform and tooling needs in product development lifecycle transformation discussions, including how Product, Engineering, and Design teams can work together.
Own strategy, roadmap, and execution for the current portfolio, including Replit, Atlassian, and Airtable; evolve the portfolio as tools are introduced or retired.
Partner with Engineering and technical program managers to deliver features and platform improvements.
Define the product and engineering support model for each core platform and align the teams responsible for supporting it.
Manage vendor relationships, influence vendor roadmaps, provide budget input, and identify opportunities to apply vendor capabilities at Zillow.
Define adoption and value metrics, share results with leadership, and recommend changes based on findings.
Develop documentation, training, and self-service support to scale adoption without a corresponding increase in support requests.
Mentor product managers and cross-functional partners, and demonstrate AI-native product practices.