Senior Techincal Program Manager
Amazon.com
Toronto, ON, CA
9d ago

Amazon Flex is re-imagining what it means to work, and we need your help. We're in search of someone organized and high-speed to help lead our product development efforts, coordinating across multiple teams, technologies, and geographies.

Flex (flex.amazon.com) is a gig economy program that lets anyone become their own boss (a "delivery partner") and set their own schedule, by delivering packages to Amazon customers.

The Flex app coordinates delivery partners' work with Amazon's cutting-edge logistics technologies. It's the home to every feature a delivery partner would need : on-

boarding, delivery scheduling, routing and navigation, tracking their earnings, and more. Delivery partners are a key ingredient in ensuring a great experience for Amazon's customers, and we're building features to engage with our partners like never before.

Do you enjoy...

  • Directly impacting how customers experience your products?
  • Leading a major change in how people are recognized for their work?
  • Working alongside creative, fun and motivated teammates?
  • Solving complex problems at massive scale?
  • Anticipating the next problem to solve?
  • Then join the team.

  • Bachelor’s degree in Computer Science or related technical discipline
  • 5+ years of Technical Program / Project Management experience
  • Experience with one / more of software platforms, platform based apps, web services, APIs and UX
  • Experience communicating technical concepts to a non-technical audience
  • Master’s degree in Computer Science or related technical discipline
  • 8+ years of Technical Program / Project Management experience
  • Experience with large-scale data engineering and / or machine learning
  • Experience with agile or other program management methodologies
  • Experience managing complex and cross-functional projects with aggressive schedules and scarce resources
  • Adept at making trade-offs to balance business vs technology needs / constraints to resolve bottlenecks and deliver incremental value
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