Sr. Product Manager - Tech, Amazon Ads
Amazon - Toronto, Ontario, CAN
Posted May 5, 2026
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
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- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Salary
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Schedule
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- Weekend work
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Application
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- Assessment
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- Deadline
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Where they hire
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About this role
Sr. Product Manager - Tech, Amazon Ads Toronto, Ontario, CAN Are you passionate about shaping the future of Advertising Sales? The Sales AI team is seeking a Senior Product Manager - Technical (PMT) to lead product strategy and execution for Sales Recommendations, the platform that powers actionable, data-driven recommendations for Amazon Advertising account teams worldwide. Amazon Advertising is one of Amazon's fastest growing and most profitable businesses, responsible for defining and delivering a collection of advertising products that drive discovery and sales. Within the Advertising Sales organization, Sales AI is building the next generation of intelligent tools that transform how account teams operate and how advertisers achieve success. As a Sr. PMT on the Sales AI team, you will own the product vision, strategy, and roadmap for Sales Recommendations, the systems that surface high-impact opportunities to account teams, enabling them to deliver guidance to advertisers at scale. You will define what recommendations we generate, how they are prioritized and delivered, and how account teams and advertisers consume and act on them to drive measurable business outcomes. This role sits at the intersection of product strategy, data science, and sales enablement. You will work backward from the needs of account teams and advertisers to build scalable recommendation experiences, from proactive opportunity identification to real-time, reactive recommendations tailored to advertiser goals. You will partner closely with Software Engineers, Applied Scientists, and cross-functional stakeholders across Sales, Product, and Go-to-Market teams to translate complex recommendation logic into intuitive, high-impact product experiences. The ideal candidate
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