Sr. Product Manager , Cargo Integrity & Recovery Services - Prevention

Description

Every day, millions of packages move through one of the world's largest transportation networks - and keeping that freight safe is a massive, fascinating challenge. We're looking for a Senior Product Manager to lead the product strategy for cargo security and risk prevention across our inbound supply chain. In this role, you'll build brand-new products and evolve an existing roadmap that protects inventory from the moment it enters our transportation network until it reaches its destination.

This is a rare opportunity to work at the intersection of product management, machine learning, and global logistics. You'll design intelligent, scalable systems - including real-time monitoring and predictive risk detection - that safeguard billions of dollars in goods while improving the experience for shipping partners and customers alike. If you love turning ambiguity into strategy, thrive on cross-functional collaboration, and want your work to have measurable, large-scale impact, this role was made for you.

Key job responsibilities

- Define and own the product vision and multi-year roadmap for cargo integrity and prevention services, including building new product lines and evolving existing capabilities that reduce inventory loss across the transportation network.

- Lead customer and stakeholder discovery to identify the highest-impact pain points in transportation reliability, synthesizing insights from operational data, carrier performance metrics, and cross-functional interviews into a clear, prioritized product strategy.

- Drive cross-functional execution by partnering with engineering, data science, operations, and business intelligence teams to deliver both near-term improvements and long-term strategic capabilities - setting shared goals, resolving trade-offs, and maintaining momentum across work streams.

- Build and scale machine-learning-powered solutions for predictive risk detection, real-time shipment monitoring, and carrier compliance - working closely with applied scientists and engineers to translate models from research into production-ready products.

- Establish success metrics, reporting mechanisms, and operational feedback loops that quantify product and business impact, inform continuous improvement, and provide leadership with clear visibility into risk trends and prevention effectiveness.

A day in the life

Mornings might start with reviewing overnight cargo incident trends, then joining a stand-up with engineering and data science partners to unblock a predictive risk model. Midday, you lead a cross-functional roadmap review with operations and risk management stakeholders, aligning on priorities and trade-offs. Afternoons could involve drafting requirements for a real-time alerting feature or analyzing A/B test results on a recently launched detection capability.

No two days look the same, but every day centers on solving complex problems that protect a global supply chain.

About the team

Our team protects the integrity of freight moving through Amazon's transportation network. We combine shipment data with transportation signals to detect cargo theft proactively and build preventative measures that strengthen the entire supply chain. When prevention isn't possible, we pursue recovery through vendor reimbursements and carrier insurance claims. We're a mission-driven, collaborative group that values creative problem-solving, data-driven decisions, and diverse perspectives.

You'll work alongside engineers, data scientists, and operations leaders who are passionate about raising the bar for supply chain security.

Basic Qualifications

- 5+ years of product management experience

- Bachelor's degree or equivalent

- Experience working with technical and product stakeholders to define requirements, prioritize features, and influence product roadmaps

- Experience using data and analytics to drive sales strategy and results

- Experience managing end-to-end product delivery, including feature prioritization and trade-offs

Preferred Qualifications

- Master's degree in business administration, finance, economics, computer science, data science, engineering, or other related field

- Experience with training and deploying machine learning systems to solve large-scale optimizations, or experience driving collaborative projects from conception to delivery

- Experience in transportation or supply chain

- Experience delivering complex, data-driven recommendations to senior leaders

- Experience managing cross-functional projects and initiatives

- Experience in launching new products

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…