AmazonSr. Product Manager- Tech, Amazon Compliance Safety Services
Amazon is hiring a Sr. Product Manager- Tech, Amazon Compliance Safety Services in Seattle, United States. It pays $151k-$205k 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 AI product manager role: the daily work is on AI products, without building the model.
- The posting mentions Machine Learning Pipelines, product strategy and roadmap management among its tools and skills.
- Level classes it as a senior role.
- Amazon has 21,000+ other open roles on Level.
AI in this role
Senior Product Manager driving customer remediation features and partnering with applied science teams on ML-powered verification pipelines.
Key job responsibilities
-Own the product roadmap for customer remediation, including recall notification delivery, customer engagement surfaces, verification of destruction workflows, and the centralized remediation hub
-Define and drive the product strategy for expanding customer remediation coverage to new channels (in-app, messaging platforms, voice), new purchase categories, and new geographies
-Partner with applied science teams on ML-powered verification pipelines, including image classification, fraud detection, and model quality evaluation
-Write requirements, define success metrics, and make prioritization tradeoffs across a 250+ engineering-week portfolio
-Represent the customer remediation charter in leadership reviews, providing data-backed recommendations on scope, sequencing, and resource allocation
-Collaborate with legal, regulatory, and operations teams to ensure remediation capabilities meet evolving safety mandates across global jurisdictions
A day in the life
You will spend your day balancing strategic planning with hands-on product delivery. In a given week, you might review ML model accuracy metrics for image verification, define requirements for a new notification channel, align with operations on recall case workflows, and present roadmap tradeoffs to leadership. Your customers are both the Amazon shoppers who need clear, timely information about product safety and the internal teams who execute remediation at scale. You will own decisions end to end, from defining what gets built to measuring whether it worked.
About the team
Amazon Compliance Safety Services protects customers and sellers by ensuring products sold on Amazon meet safety and compliance requirements worldwide. The Customer Remediation team within CoSS is responsible for how Amazon reaches customers affected by product recalls and safety alerts, how customers verify compliance actions, and how internal teams execute remediation workflows. The team ships customer-facing experiences across the Amazon app, email, push notifications, and emerging channels, backed by ML-powered verification systems.
Basic qualifications
- Bachelor's degree
- Experience owning/driving roadmap strategy and definition
- Experience with feature delivery and tradeoffs of a product
- Experience contributing to engineering discussions around technology decisions and strategy related to a product
- Experience managing technical products or online services
- Experience in representing and advocating for a variety of critical customers and stakeholders during executive-level prioritization and planning
Preferred qualifications
- Experience in using analytical tools, such as Tableau, Qlikview, QuickSight
- Experience in building and driving adoption of new tools
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. 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, WA, Seattle - 151,200.00 - 204,600.00 USD annually
How we rate this
Sr. Product Manager- Tech, Amazon Compliance Safety Services 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
Also common in AI product manager jobs at this level
Pay
- This job starts at
- $151k
- Typical AI product manager job
- $180k
This posting starts 16% below the typical AI product manager job. See AI product manager jobs
Questions you could be asked
- Tell me about a project where product strategy was part of your work. What did you do?
- Tell me about a project where roadmap management was part of your work. What did you do?
- Tell me about a project where cross functional leadership was part of your work. What did you do?
- Tell me about a project where image classification was part of your work. What did you do?
- Walk me through how you've used Machine Learning Pipelines in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Product Strategy, Roadmap Management, Cross Functional Leadership, Image Classification, and Machine Learning Pipelines. 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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