Clean Room Product Owner

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 .

Job Description

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.

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.

Key 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.

Required

Qualifications

• 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.

Preferred

Qualifications

• 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.

Core Competencies

• Technical Product Management
• Data & Clean Room Architecture
• Product Strategy & Roadmapping
• Partner Data Onboarding
• Cross-Functional Leadership
• Requirements Definition
• Technical Documentation
• Data Privacy & Collaboration
• Adtech / Martech Ecosystem Knowledge
• Stakeholder & Partner Management

Additional Information

The starting pay range for this role is $175,000 - $270,000. Actual compensation within the range will be dependent on several factors including but not limited to relevant experience, skills, certifications, training, and location. It is not typical for an individual to be hired at or near the top of the range and determining factors for compensation are considered for each individual circumstance. BLEND360 also offers a competitive benefits program to meet the health and financial well-being of our team and their families. You can look forward to a range of benefits including medical, dental, vision, 401K, PTO, paid holidays, commuter benefits, spending accounts, life insurance, disability coverage, and EAPs.