[Skip to main content](#main-content) [OpenNash Jobs](https://jobs.opennash.com/) [Hiring report](/reports/hiring/) · [All Amazon jobs](https://jobs.opennash.com/companies/amazon/) · [Search jobs](/search/) Amazon · Seattle, WA # Principal, Product Mgr - Tech, Advanced Analytics US, WA, Seattle Senior individual contributor Data & Analytics Listed on Amazon’s official careers site. Posted August 7, 2026. Check that it is still open and apply there. [Apply on Amazon’s careers site →](https://www.amazon.jobs/en/jobs/10496285/principal-product-mgr-tech-advanced-analytics) [OpenNash Jobs](https://jobs.opennash.com/) / [Amazon](https://jobs.opennash.com/companies/amazon/) / Principal, Product Mgr - Tech, Advanced Analytics ## Job description The Advanced Analytics team within MADS delivers sophisticated analytic solutions and programmatic interfaces to Amazon Ads' most strategic advertising customers — holding companies, independent agencies, technology providers, and enterprise advertisers. We own the signals, analytics building blocks, programmatic surfaces, and solution engagements that let these customers and their AI agents measure, optimize, act on, and scale every media investment at Amazon. We are seeking a Principal Product Manager - Tech to own the product vision, strategy, and roadmap for a new product that provides customers with access to Amazon Ads data and solutions within a privacy-safe AWS Clean Rooms environment, with customer-controlled compute and infrastructure, powering agentic AI workflows. This is a greenfield opportunity to define a new product category at the intersection of advertising data, privacy-enhancing technologies, and agentic AI. As the Principal PMT, you will set the long-term product strategy, drive technology choices, and lead cross-functional teams (engineering, science, design, legal, privacy, and business development) to deliver a product that enables Amazon's most sophisticated advertising customers to bring their own compute, run their own models, and orchestrate AI agents — all within a privacy-safe, customer-controlled environment built on AWS Clean Rooms. A successful candidate will combine deep technical fluency in cloud infrastructure, data collaboration, and AI/ML with the strategic product thinking required to define a new market category. You will influence across Amazon Ads, AWS, and external customer organizations, and you will be comfortable operating in high ambiguity where the business opportunity and product strategy are not yet fully defined. Key job responsibilities ### Product Vision & Strategy - Own and articulate the end-to-end product vision, defining how customers access Amazon Ads data and solutions within their own AWS Clean Rooms environment to power measurement, optimization, and agentic AI workflows at scale. - Define the long-term strategy that positions the product as the preferred data collaboration surface for Amazon Ads' most strategic customers, balancing customer autonomy with Amazon's privacy and data governance requirements. ### Privacy & Data Architecture - Define the product requirements for privacy-safe data access, including data governance policies, access controls, differential privacy mechanisms, and compliance frameworks that protect Amazon's first-party data while maximizing customer utility. - Partner with AWS Clean Rooms, Amazon Ads Privacy, and Legal teams to design the trust model that governs how customers interact with Amazon Ads data in their own infrastructure. ### Agentic AI & Customer Compute - Define the product strategy for enabling agentic AI workflows within the environment — including how customers deploy, orchestrate, and monitor AI agents that operate on Amazon Ads data within their own compute. - Identify and prioritize the composable building blocks (data assets, APIs, model endpoints, agent tools) that customers and their AI agents need to autonomously measure, optimize, and act on media investments. ### Cross-Organizational Leadership - Drive alignment across Amazon Ads Product, AWS Clean Rooms, MADS Engineering, Measurement Science, Developer Experience, and external customer organizations. - Represent the product in executive-level discussions (VP/SVP), OP1/OP2 planning, and investment proposals. Communicate vision, strategy, and progress through crisp written documents (PR/FAQs, narratives, strategy reviews). - Ensure the product integrates seamlessly with the broader Advanced Analytics product portfolio. ### Customer Engagement & Go-to-Market - Engage directly with holding companies, technology integrators, and large advertisers to deeply understand their data collaboration needs and co-develop solutions. - Define the go-to-market strategy including pricing/cost-transfer models, onboarding experiences, and adoption mechanisms that scale from a single analyst to a holding company managing thousands of advertisers. ### Technical Depth - Lead engineering discussions around technology decisions, including AWS Clean Rooms architecture, compute isolation models, data egress controls, and integration patterns with Amazon Ads' data lake and API surfaces. - Evaluate emerging technologies (LLMs, MCP/agent protocols, federated learning, confidential computing) for applicability to the product roadmap. ### Business Impact & Metrics - Define and own success metrics, including customer adoption, data utilization, agent workflow activation, revenue contribution, and privacy compliance. - Drive rapid experimentation and iteration to validate product-market fit with early design partners. ### Thought Leadership & Mentorship - Act as a thought leader across MADS and Amazon Ads on privacy-safe data collaboration and agentic AI for advertising. - Mentor and develop PMs on the team; raise the bar on product thinking and embody Amazon's Leadership Principles. ## At a glance - Posted by the employer: Aug 7, 2026 - First seen by OpenNash: Oct 11, 2026 - Last checked: Oct 11, 2026 - Listed for: 65 days - Location: US, WA, Seattle[Apply on Amazon’s careers site →](https://www.amazon.jobs/en/jobs/10496285/principal-product-mgr-tech-advanced-analytics) ## More jobs at Amazon ### [2027 Applied Science Internship - Recommender Systems/ Information Retrieval (Machine Learning) - United States, PhD Student Science Recruiting](https://jobs.opennash.com/companies/amazon/jobs/ff40f3fb9994d287be5b/) US, WA, Seattle ### [2027 Applied Science Internship - Reinforcement Learning & Optimization (Machine Learning) - United States, PhD Student Science Recruiting](https://jobs.opennash.com/companies/amazon/jobs/ec62591ec9ad3128e879/) US, WA, Seattle ### [2027 Summer Applied Science Internship - Information & Knowledge Management (Machine Learning)- United States, PhD Student Science Recruiting](https://jobs.opennash.com/companies/amazon/jobs/7128f74c5feed87f1056/) US, WA, Seattle ### [AI/ML Engineer, Amazon Global Data Center Ops Central Insight and Analytics Team](https://jobs.opennash.com/companies/amazon/jobs/099d20823db20e58f0cb/) US, WA, Seattle ### [Agentic Data Engineer, Frontier AI Tooling](https://jobs.opennash.com/companies/amazon/jobs/9dcc6d31850954e424d5/) US, WA, Seattle ## Similar jobs at other companies ### [Systems Engineering Field Tech Support Asc Mgr - L4](https://jobs.opennash.com/companies/lockheed-martin/jobs/5c1dd91a199108e48981/) Lockheed Martin · Luke AFB, AZ ### [Mgr, Product - Platform](https://jobs.opennash.com/companies/thrivent-financial/jobs/e8408023073ad5cfab37/) Thrivent Financial · Remote-Minnesota-Minneapolis Metro ### [Division Cust Experience & Financial Product MGR](https://jobs.opennash.com/companies/kroger/jobs/38448039d35660c3bc6d/) Kroger · Indianapolis, IN, United States ### [Principal Tech Consultant - Solution Architect](https://jobs.opennash.com/companies/ntt/jobs/51fc3cdfac6adfef6d96/) NTT · New York, NY, US, United States ### [AP Product Center Manufacturing Engineering Mgr - L5](https://jobs.opennash.com/companies/lockheed-martin/jobs/d12a7b1de555a4089e49/) Lockheed Martin · Grand Prairie, TX, Chelmsford, MA [Jobs in Seattle, WA](/locations/us/wa/seattle/)[Jobs in Washington](/locations/us-wa/)[Data & Analytics jobs](/functions/data-analytics/) OpenNash lists jobs from employers’ own careers sites and does not handle applications. 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