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. - Bachelor's degree - Experience owning/driving roadmap strategy and definition - Experience with feature delivery and tradeoffs of a product - Experience technical product management - 8+ years of end to end product delivery experience - Experience working directly with Engineers on product enhancements - Experience in project management methodologies, business analysis, or process improvement Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit amazon.jobs for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at amazon.jobs . USA, WA, SEATTLE - 179,900.00 - 243,400.00 USD annually

Requirements

Must-haves

Key job responsibilities
Product Vision & Strategy
Privacy & Data Architecture
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.
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.
Bachelor's degree
Experience owning/driving roadmap strategy and definition

Nice-to-haves

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Application prep

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Keywords to mirror

aiawsmlgoapi

Platform: amazon
Effort: medium

Benefits

Benefits detected in the listing.

Health Insurance

Dental

Vision

401(K)

Paid Time Off

Parental Leave