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

Amazon Amazon · Big Tech · Santa Monica, CA · Project/Program/Product Management--Non-Tech

This role is for a Senior Product Manager at Amazon focusing on cargo integrity and risk prevention within their global logistics network. The core of the role involves defining product strategy, building new products, and evolving existing ones using machine learning for predictive risk detection and real-time monitoring. The product manager will collaborate with engineering and data science teams to translate ML models into production-ready products and establish success metrics. The role operates at the intersection of product management, ML, and logistics, aiming to protect billions of dollars in goods.

What you'd actually do

  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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.

Skills

Required

  • 5+ years of product management experience
  • 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

Nice to have

  • 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

What the JD emphasized

  • machine learning
  • predictive risk detection
  • real-time monitoring
  • training and deploying machine learning systems

Other signals

  • build brand-new products
  • evolve an existing roadmap
  • design intelligent, scalable systems
  • real-time monitoring
  • predictive risk detection
  • build and scale machine-learning-powered solutions