Jobs
We are seeking a forward thinking and deeply technical Principal Product Manager to own the end-to-end bidding strategy across Sponsored Products (SP) and Sponsored Brands (SB). This is a rare opportunity to fundamentally redefine how bidding works across two of Amazon Advertising's largest and most impactful product lines. The core mandate is bold: shift bidding from a manual, advertiser-driven model to one where hands-off, dynamic bidding is the default path to performance—intelligently allocating spend toward high-value signals and suppressing investment in underperforming ones, so that strong returns are accessible to every advertiser regardless of sophistication.
This leader will rearchitect the entire bidding system—unifying placement adjustments, audience adjustments, and other bid modification levers into a cohesive, automated framework rather than a collection of disconnected manual controls. Equally important, this PMT will critically evaluate the existing suite of bidding controls, defining a principled framework for which levers to retain, simplify, deprecate, or replace. Today's bidding surface has accumulated layers of complexity that compound costs for advertisers without proportionally improving outcomes; this role will bring clarity, coherence, and measurable impact to that experience.
Beyond transforming the current system, this PMT will define the bidding paradigm for entirely new ad experiences—including AI overviews, agentic shopping surfaces, and emerging formats that fundamentally differ from traditional search and browse placements. This work demands deep cross-functional partnership across the SPB organization, science, engineering, UX, and business teams, and will directly influence advertiser performance, retention, and long-term spend growth at scale. The ideal candidate combines exceptional product vision with the technical depth and organizational influence to drive architectural change across a complex, high-revenue ecosystem.
- Key job responsibilities
- End-to-End Bidding Vision & Strategy: Own the long-term bidding strategy across Sponsored Products and Sponsored Brands, defining a multi-year roadmap that establishes dynamic, automated bidding as the default path to performance for all advertisers.
- Bidding System Rearchitecture: Rearchitect the entire bidding system, unifying placement adjustments, audience adjustments, and other bid modification levers into a cohesive, intelligent automation framework that closes the performance gap between sophisticated and automation-reliant advertisers.
- Bidding Controls Rationalization: Critically evaluate existing bidding controls and define a principled framework for which levers to retain, simplify, deprecate, or replace—ensuring every exposed control is intuitive, impactful, and aligned with the broader automation strategy.
- Emerging Ad Experience Bidding Paradigm: Define how bids should be valued and optimized for next-generation surfaces including AI-powered overviews, agentic shopping experiences, and new formats that differ fundamentally from traditional search and browse placements.
- Cross-Functional Leadership: Drive alignment and execution across multiple SPB teams, partnering deeply with science, engineering, UX, and business stakeholders to deliver cohesive bidding solutions at scale.
- Advertiser Impact & Measurement: Directly drive measurable improvements in advertiser performance, retention, and long-term spend growth, defining success metrics that ensure accountability across the bidding ecosystem.
About the team
The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through industry leading generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising.
The SPB Bidding team owns the end-to-end experience and algorithms that determine how advertisers bid across Sponsored Products and Sponsored Brands—including bidding on targets (keywords, product targets), placements, audiences, and other bid modification levers. The team defines the bidding strategies, controls, and automated systems that help advertisers optimize their ad spend to reach the right customers at the right time, directly influencing advertiser performance, return on investment, and overall spend growth across two of Amazon Advertising's largest product lines.
Basic Qualifications
- 2+ years of end to end product delivery experience
- 8+ years of technical product or program management experience
- Bachelor's degree
- Experience with feature delivery and tradeoffs of a product
- Experience owning/driving roadmap strategy and definition
- Experience leading engineering discussions around technology decisions and strategy related to a product
- Experience technical product management
Preferred Qualifications
- 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.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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 https://amazon.jobs/content/en/how-we-hire/accommodations 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 https://amazon.jobs/en/benefits.
USA, CA, Palo Alto - 206,900.00 - 279,900.00 USD annually
USA, NY, New York - 197,900.00 - 267,800.00 USD annually
USA, WA, Seattle - 179,900.00 - 243,400.00 USD annually
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About Amazon

Amazon
PublicAmazon.com, Inc. is an American multinational technology company engaged in e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.
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Reviews
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