AmazonSenior Program Manager, Intellectual Property Protection
Amazon is hiring a Senior Program Manager, Intellectual Property Protection in Vancouver, Canada. It pays CAD 84k-CAD 141k a year and Level rates it ; you can apply on Amazon.
Level's read on this job
- Works on AI ●●●○ is how Level rates this role: the daily work is on AI products, without building the model.
- Tools and skills the posting cites include program management, machine learning and root cause analysis.
- Level classifies it as a senior role.
- Level lists 20,000+ other open roles at Amazon.
AI in this role
Own the program lifecycle for machine learning-based brand protection detection systems, partnering with applied scientists to optimize models.
This position sits at the heart of Amazon's brand protection systems, where your decisions directly determine whether hundreds of millions of product listings are correctly identified as legitimate or infringing. You'll partner with applied scientists on ML model performance, manage golden dataset refresh cycles, optimize image enrollment processes, and conduct root cause analysis on false positive drivers. Your strategic impact will be felt across marketplaces, regions, and languages as you balance precision and recall at unprecedented scale.
Key job responsibilities
- Partner with applied scientists to evaluate machine learning model performance for brand protection detection systems, making high-judgment decisions that directly impact detection accuracy across billions of listings WW.
- Manage high-quality training dataset refresh cycles and text workstream pattern identification across multiple marketplaces and languages to ensure detection models have high-quality training data.
- Conduct comprehensive root cause analysis on false positive drivers, going 2-3 levels deeper than surface analysis to identify systematic improvements for detection systems.
- Translate findings into detailed engineering-ready specifications with clear, measurable success criteria that enable engineering teams to build to specification.
- Present strategic recommendations to Directors and VPs on detection system enhancements, establishing metrics and driving alignment across stakeholders.
A day in the life
Your day begins by reviewing overnight detection metrics across marketplaces to identify any emerging patterns requiring attention. You'll meet with applied scientists to evaluate a new model iteration, making judgment calls on its precision/recall balance before implementation. After, you might spend time analyzing text patterns across multiple languages to identify new detection opportunities or coordinate with engineering on implementing your latest false positive reduction blueprint. You'll wrap up by presenting findings from your latest root cause analysis to leadership, highlighting systematic improvements that could eliminate thousands of false positives while maintaining strong brand protection.
About the team
The brand protection program team serves as Amazon's systemic problem-solving engine, providing vertical product-program support across discovery, detection, and remediation systems.
Product and engineering teams explicitly prefer working with our team because we deliver detailed blueprints instead of vague problems, enabling engineering to build to specification and validate against clear success criteria.
Basic qualifications
- 6+ years of program or project management experience
- Experience using data and metrics to determine and drive improvements
- Experience owning program strategy, end to end delivery, and communicating results to senior leadership
- Experience working cross functionally with tech and non-tech teams
Preferred qualifications
- Master's degree, or MBA in business, operations, human resources, adult education, organizational development, instructional design or related field
- Experience with large-scale ML systems, model performance evaluation, or data-driven program strategy
- Deep understanding of brand protection, fraud detection, abuse prevention, or trust and safety technologies
- 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 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. As a total compensation company, Amazon's package may include other elements such as sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon offers comprehensive benefits including health insurance (medical, dental, vision, prescription, basic life & AD&D insurance), Registered Retirement Savings Plan (RRSP), Deferred Profit Sharing Plan (DPSP), paid time off, and other resources to improve health and well-being. We thank all applicants for their interest, however only those interviewed will be advised as to hiring status.
CAN, BC, Vancouver - 84,400.00 - 141,000.00 CAD annually
How we rate this
Senior Program Manager, Intellectual Property Protection at Amazon rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where program management was part of your work. What did you do?
- Tell me about a project where machine learning was part of your work. What did you do?
- Tell me about a project where root cause analysis was part of your work. What did you do?
- Tell me about a project where dataset management was part of your work. What did you do?
- Describe a typical day in a role like this one: which parts run through AI directly?
Adapt your resume
- List these exact terms on your resume: Program Management, Machine learning, Root Cause Analysis, and Dataset Management. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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