Sr. Product Manager- Tech, Amazon Compliance Safety Services
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.

