Amazon.com Services LLC
Project/Program/Product Management--Non-Tech, Product Management, transportation and logistics
Sr.ProductManager,CargoIntegrity&RecoveryServices
“Sr. Product Manager, Cargo Integrity & Recovery Services at Amazon.com Services LLC. Skills: Product management, Machine learning, Logistics, Risk management. Define and own product vision. Develop multi-year roadmap”
What You'll Achieve.
Protect inventory; Safeguard billions in goods; Improve partner experience; Improve customer experience; Reduce inventory loss; Quantify product impact; Quantify business impact
Industry & Context.
Turning ambiguity into strategy; Solving complex problems
What They're Looking For.
Must Have
5+ years product management experience, Bachelor's degree or equivalent, Experience working with technical and product stakeholders, Experience using data and analytics, Experience managing end-to-end product delivery
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, 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 You'll Do.
Define and own product vision
Develop multi-year roadmap
Build new product lines
Evolve existing capabilities
Reduce inventory loss
Lead customer and stakeholder discovery
Identify high-impact pain points
Synthesize insights from operational data
Prioritize product strategy
Drive cross-functional execution
Partner with engineering
Deliver near-term improvements
Deliver long-term strategic capabilities
Maintain momentum across workstreams
Build and scale machine-learning-powered solutions
Develop predictive risk detection
Develop real-time shipment monitoring
Develop carrier compliance solutions
Translate models from research into production-ready products
Establish success metrics
Establish reporting mechanisms
Establish operational feedback loops
Quantify product and business impact
Inform continuous improvement
Provide leadership with clear visibility
How You'll Work.
Team & Collaboration
Cross-functional execution; Partner with engineering; Partner with data science; Partner with operations; Partner with business intelligence; Work with applied scientists; Work with engineers; Work with operations leaders
Communication Scope
Stakeholder interviews; Roadmap reviews; Deliver recommendations
Process & Methodology
Roadmap planning, Feature prioritization, Trade-off analysis
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