Hiring: Clean Room Product Owner Company: Blend Location: Columbia, MD Job Posted Time: 2026-09-16 17:50:42 Target Skills & Keywords : AI, Product Management, Product Strategy, Snowflake About the job Experience: •7 years of product management experience Required Skills: •We are seeking a Senior Product Manager to own the strategy, roadmap, requirements, and ongoing development of the Latis Snowflake Data Clean Room •. This role sits at the intersection of product, data, engineering, and external partnerships, translating business and partner needs into a scalable, privacy-safe data collaboration product. •Own the Latis Data Clean Room product roadmap •Translate business, partner, and technical needs into clear product requirements and actionable development plans. •Author and maintain product, technical, build, and data onboarding documentation •Partner with Data Science and Data Engineering to define, build, test, and optimize clean room capabilities. •Support partner data onboarding •, including requirements gathering, documentation, troubleshooting, and issue resolution. Qualifications: •The ideal candidate brings hands-on experience with data clean rooms across platforms such as Snowflake, Amazon, and The Trade Desk •, along with a strong understanding of data-sharing architectures, privacy-safe matching, and interoperability. This person will work closely with Data Science and Data Engineering to define requirements, guide the build and testing process, and ensure the clean room can effectively support partner data onboarding and use cases. •This is a highly collaborative, technical product role with meaningful exposure to both internal stakeholders and external partners. •5–7 years of product management experience •, preferably in data, advertising technology, marketing technology, or another technical product environment. •Hands-on product experience with data clean room technologies •, particularly Snowflake, Amazon, and/or The Trade Desk. •In-depth knowledge of data-sharing architectures, data collaboration, identity/matching, and privacy-safe data use •Demonstrated ability to support •, including requirements definition, documentation, troubleshooting, and issue resolution. Compensation: •$175,000 - $270,000 / year •Competitive benefits and rewards package Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!