Clean Room Product Owner

Blend360•Columbia, MD

About The Position

Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com . 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.

Requirements

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.
Strong understanding of data-sharing architectures, data collaboration, identity/matching, and privacy-safe data use.
Experience defining product requirements and roadmaps for technically complex products.
Experience creating clear technical and product documentation for engineering teams and external partners.
Demonstrated ability to support partner data onboarding, including requirements definition, documentation, troubleshooting, and issue resolution.
Comfortable working closely with Data Science and Data Engineering teams.
Strong communication skills and the ability to translate complex technical concepts into clear requirements and business outcomes.
Ability to operate effectively in a cross-functional, fast-paced environment with multiple stakeholders.

Nice To Haves

Experience in adtech, martech, digital media, audience data, measurement, or advertising platforms.
Experience building or managing products that leverage Snowflake Data Clean Rooms or comparable privacy-enhancing technologies.
Familiarity with audience activation, identity resolution, data matching, media measurement, or campaign analytics.
Experience working directly with agencies, brands, publishers, data providers, or technology partners.
Understanding of privacy, governance, and regulatory considerations surrounding the use of consumer and advertising data.

Responsibilities

Own the Latis Data Clean Room product roadmap, vision, requirements, and priorities.
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.
Work directly with partners and internal stakeholders to understand data requirements and ensure successful integration.
Define and document privacy-safe data matching, sharing, and collaboration requirements.
Apply experience across Snowflake, Amazon, and The Trade Desk to inform Latis architecture and support cross-platform interoperability.
Develop requirements for data-sharing architectures, including Snowflake-to-Snowflake workflows and other secure data exchange patterns.
Identify opportunities to improve the clean room experience, scalability, usability, and partner adoption.
Maintain strong awareness of the evolving data clean room ecosystem and emerging industry practices.