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Aws Clean Rooms Jobs (NOW HIRING)

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Head of Measurement Partnerships

New York, NY · On-site

Deep technical understanding of ad tech architectures, including APIs, SDKs, pixel implementation, and cloud-based data collaboration environments (e.g., AWS Clean Rooms, Snowflake, GCP). * Strategic ...

Inficare Technologies

AWS Cloud Engineer

$57 - $76.25/hr

Deploy, manage, and optimize AWS services including Lambda, Step Functions, S3, Glue, DMS, Direct Connect, CloudWatch, CloudTrail, Clean Rooms, and Marketplace Sandbox * Enable secure and efficient ...

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Aws Clean Rooms information

See salary details

$23.5K

$57.8K

$90.5K

How much do aws clean rooms jobs pay per year?

As of Sep 8, 2026, the average yearly pay for aws clean rooms in the United States is $57,815.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,000.00 and $75,500.00 per year, depending on experience, location, and employer.

What are AWS Clean Rooms?

AWS Clean Rooms is a privacy-enhancing analytics service provided by Amazon Web Services that allows multiple parties to collaborate on shared datasets without revealing sensitive or raw data to one another. It enables organizations to analyze and generate insights from combined datasets using privacy-safe controls and configurable restrictions. This service is particularly useful for industries like advertising, marketing, and healthcare, where data privacy and compliance are paramount. By ensuring that only the agreed-upon results are shared, AWS Clean Rooms helps companies gain joint insights while maintaining strict data confidentiality.

What are the key skills and qualifications needed to thrive as an AWS Clean Rooms specialist?

To thrive as an AWS Clean Rooms Specialist, you need a strong background in cloud computing, data privacy, and collaborative data analytics, typically supported by experience with AWS services and a relevant technical degree. Proficiency with AWS Clean Rooms, data governance tools, and certifications such as AWS Certified Solutions Architect or AWS Certified Data Analytics are highly valued. Strong analytical thinking, attention to detail, and effective communication are essential soft skills for ensuring secure and compliant data collaboration. These skills and qualifications are vital for enabling organizations to securely analyze and share data while maintaining regulatory compliance and data privacy.

What are some common challenges faced by professionals working with AWS Clean Rooms, and how can they be addressed?

Professionals working with AWS Clean Rooms often encounter challenges such as ensuring secure data collaboration without compromising privacy, managing data governance across multiple stakeholders, and integrating Clean Rooms with existing data pipelines. Addressing these challenges requires a strong understanding of AWS's privacy-enhancing technologies, clear communication with partners about data usage policies, and close collaboration with security and compliance teams. Leveraging AWS documentation, best practices, and automation tools can help streamline operations and ensure regulatory compliance.

What is the difference between Aws Clean Rooms vs Data Analysts?

AspectAws Clean RoomsData Analysts
Required CredentialsCloud certifications (AWS Certified Data Analytics, Solutions Architect)Degree in Data Science, Statistics, or related field; often certifications like Microsoft Data Analyst Associate
Work EnvironmentCloud platforms, data privacy-focused environmentsOffice or remote, analyzing data sets, reporting
Employer & Industry UsageTech companies, data-driven organizations using AWSVarious industries including finance, marketing, healthcare
Common Search & Comparison IntentUnderstanding cloud data privacy rolesData analysis and reporting roles

While Aws Clean Rooms focus on secure, privacy-preserving data collaboration within cloud environments, Data Analysts primarily interpret and visualize data to support business decisions. Both roles require analytical skills, but Aws Clean Rooms specialists emphasize cloud security and data privacy, whereas Data Analysts focus on data interpretation and reporting.

Infographic showing various Aws Clean Rooms job openings in the United States as of September 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 75% In-person, and 25% Remote job distribution, with an average salary of $57,815 per year, or $27.8 per hour.

Senior Product Manager - Data Collaboration & Measurement

Santa Monica, CA • On-site

Roku
Manufacturing • 1 - 5K employees
Learn more about Rokuexternal

$125K - $261K/yr

Full-time

Medical, Life, PTO

Re-posted 10 days ago

Job description

About the role

Roku is building the future of advertising measurement and data collaboration-and we need a product leader who can help us get there. In this role, you'll sit at the intersection of Roku's proprietary data assets, privacy-enhancing technologies, and the broader advertising ecosystem. Your mission: enable advertisers to prove that their campaigns deliver real business outcomes through trusted measurement and secure data collaboration.
You'll partner with the industry's leading measurement vendors (Nielsen, Videoamp, iSpot, HAUS, Kochava, and more) and work with cutting-edge cleanroom technologies (Snowflake, LiveRamp, AWS Clean Rooms) to deliver a closed-loop system where advertisers can plan, measure, and optimize with confidence. This is a unique opportunity for a mid-career product manager to shape how Roku works with the advertising ecosystem, craft products that drive measurable and provable advertiser outcomes, and establish yourself as a trusted partner across agencies, brands, and measurement providers.
If you're energized by complex technical challenges, passionate about advertising's evolution toward privacy-safe data collaboration, and ready to help Roku "Get Credit for Our Ads" through trusted, identity-driven measurement-this role is for you.

For California Only - The estimated annual salary for this position is between $125,375 - $261,600 annually. Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off.

How will I use AI at Roku? 

At Roku, we don't just use AI, we work with it. AI agents and smart tools help power drafts, analysis, and repetitive workflows, while our people bring direction, judgment, and accountability. We're looking for curious, adaptable builders who can show how they've used AI or automation to move faster, raise the bar, and scale their impact. 

 
We value your AI skills if have built fluency across the agentic engineering toolchain - coding harnesses like Claude Code or Cursor, MCP servers, custom skills, or agent frameworks. And you can describe projects where you shipped real work with these tools. You know how to drive an agent, verify its output, and ramp on an unfamiliar codebase with an agent helping you.  

What you'll be doing
  • Drive Data Collaboration Strategy & Execution
  • Own the product roadmap for Roku Data Cloud (RDC), our framework designed to facilitate seamless collaboration within the media ecosystem using Roku's proprietary data
  • Partner with cleanroom technology providers (Snowflake, LiveRamp Clean Room, AWS Clean Room, Habu, InfoSum) to design and launch privacy-safe data collaboration capabilities
  • Define and prioritize advertiser and agency use cases including audience planning, campaign measurement, closed-loop attribution, and incrementality testing
  • Translate technical data structures and query logic into intuitive product experiences that empower marketers to activate Roku data securely
  • Navigate the advertising identity ecosystem, working with onboarder identity solutions and direct PII matching approaches to enable precise audience targeting and measurement
  • Expand 3rd Party Measurement Ecosystem
  • Build and maintain strategic partnerships with the measurement vendor ecosystem including audience measurement (Nielsen, Videoamp, iSpot), attribution providers (Northbeam), mobile measurement partners (Kochava, Appsflyer), and incrementality testing platforms (HAUS, Measured)
  • Own the product strategy for integrating measurement capabilities into Roku's ad platform, including server-to-server integrations, pixel-based tracking, and ad serving standards (VAST/VMAP)
  • Work cross-functionally with engineering, data science, sales, and partnerships to prioritize measurement integrations that drive advertiser outcomes
  • Evangelize Roku's measurement capabilities to agencies, brands, and industry bodies-becoming the trusted voice for how Roku proves advertising effectiveness
  • Deliver a Closed-Loop Measurement System
  • Design products that enable advertisers to measure campaign performance across planning, delivery, and optimization phases
  • Champion privacy-enhancing technologies (PETs) that allow secure multi-party computation without exposing raw data
  • Collaborate with data engineering and analytics teams to ensure measurement methodologies are rigorous, defensible, and aligned with industry standards
  • Support sales and client success teams with technical expertise, helping them articulate Roku's measurement value proposition
  • Drive Product Excellence
  • Define product requirements, user stories, and acceptance criteria for complex technical features
  • Work closely with engineering teams to balance technical feasibility with business impact
  • Analyze feature performance using data, customer feedback, and market trends to inform iterative improvements
  • Communicate product strategy, roadmap, and progress to executive leadership and cross-functional stakeholders
 We're excited if you have
  • 4+ years of product management experience, with at least 2 years in advertising technology, measurement, or data platforms
  • Data Collaboration Expertise: Strong working knowledge of cleanroom solutions (Snowflake Clean Room, LiveRamp Clean Room, AWS Clean Room) and privacy-enhancing technologies; hands-on experience with data structures, query logic, and SQL
  • Measurement Ecosystem Knowledge: Deep understanding of measurement methodologies (audience measurement, attribution, incrementality testing, marketing mix modeling) and the vendor landscape
  • Technical Fluency: Familiarity with measurement integration methods (server-to-server, pixel-based) and ad serving standards (VAST, VMAP)
  • Advertising DNA: Understanding of advertiser and agency use cases for data collaboration including audience planning, campaign measurement, and closed-loop attribution
  • Identity Ecosystem: Knowledge of how identity works in advertising, including onboarder solutions, PII matching, and privacy-safe approaches to audience addressability
  • Proven ability to work cross-functionally with engineering, data science, sales, partnerships, and executive stakeholders
  • Strong written and verbal communication skills-you can explain complex technical concepts to both technical and non-technical audiences
  • Strategic thinker with strong execution skills: you can see the big picture and get into the details to drive execution
Nice to have
  • Experience working with advertisers, agencies, or measurement vendors directly
  • Background in data science, analytics, or data engineering
  • Familiarity with privacy regulations (GDPR, CCPA) and their implications for advertising measurement
  • Experience with marketing mix modeling (MMM), geo-testing, or other advanced measurement techniques
  • Knowledge of programmatic advertising, DSPs, and ad server technologies
  • Track record of launching products that integrate third-party APIs or platforms
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