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

Amazon.com Inc

Santa Monica, CA

JOB DETAILS
SKILLS
A/B Testing, Business Intelligence, Cargo/Freight, Continuous Improvement, Cross-Functional, Data Science, Establish Priorities, Leadership, Logistics, Machine Learning, Maintain Compliance, Metrics, Operational Audit, Operations Management, Performance Metrics, Predictive Modeling, Problem Solving Skills, Product Development, Product Management, Product Strategy, Requirements Management, Risk, Risk Management, Risk Modeling, Set Goals, Supply Chain, Systems Scalability, Team Player, Time Tracking
LOCATION
Santa Monica, CA
POSTED
10 days ago

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 workstreams.
  • 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.

About the Company

A

Amazon.com Inc

At Amazon, we don’t wait for the next big idea to present itself. We envision the shape of impossible things and then we boldly make them reality. So far, this mindset has helped us achieve some incredible things. Let’s build new systems, challenge the status quo, and design the world we want to live in. We believe the work you do here will be the best work of your life.

Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.

It’s Always Day 1
At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here

Our Leadership Principles
Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles
COMPANY SIZE
10,000 employees or more
INDUSTRY
Retail
FOUNDED
1994
WEBSITE
http://Amazon.com/militaryroles