Amazon.composted 3 days ago
$124,500 - $206,000/Yr
Full-time • Senior
Nashville, TN
General Merchandise Retailers

About the position

Amazon is seeking a Senior Product Manager with a strong delivery record and proven product management experience to own strategic, tactical, cross-functional and technology projects across multiple verticals for our Last Mile Driver Training and Program (DT&P) team. The Amazon Last Mile Driver Training and Program team owns developing training modalities, creating training content and managing capacity to execute a successful training program for all delivery associates (DA) in North America business. DT&P has launched multiple training modalities that rely on virtual reality, simulations, and AI to train all the newly hired DAs every year who deliver packages at the doorstep of our customers. This is an opportunity to define the future of DT&P as you build innovative experiences that are used by thousands of DA every year. As Senior Product Manager for AI/ML products, you will focus on technologies that will help customers discover and engage with training in new ways. You will harness the power of technology to help define and build new training experiences that make it easier for DA to receive training when they need, learn the core skills and retain the knowledge to deliver best customer experience. You will be the CEO of the features they build and own delivery of them across the network that require integration with processes and technology in business and operations teams. You will closely collaborate with Applied Science, Engineering, Project Management, Design, 3rd party vendors and more, to set strategy for, define, design, and directly manage all aspects of the customer experience. You are customer obsessed, highly analytical, have experience defining and delivering AI/ML related products quickly and at scale, and are adept at synthesizing a variety of technologies and capabilities into high quality, simple products and applications that customers love.

Responsibilities

  • Own, define, and drive the customer-working-backwards strategy, tenets, long-term goals, and artifacts, including customer and stakeholder feedback, impact analysis, and business metrics to inform direction.
  • Define product vision, including future roadmap, investment, innovation, and experimentation.
  • Work with technology teams to align development with the product roadmap.
  • Own the Go-To Market (GTM) plan to deliver results that ensure customer and business goals are met in operational launch plans.
  • Assess and make trade-offs based on customer requirements and QA/testing of the product.
  • Use voice-of-the customer mechanisms to glean customer needs that can be uniquely met by Amazon Business.
  • Work backwards from the customer to create compelling proposals for new service offerings for customers of all sizes, globally, and present these ideas to senior leadership.
  • Lead product operations, including monitoring and responding to customer and stakeholder feedback, continuous product improvement, and business growth.
  • Lead interaction with cross-functional teams, including working closely with engineering, program management, operations, finance, and executive leadership.
  • Ensure key information cascades consistently and smoothly across stakeholder organizations.
  • Create clear, engineering-ready documents to build new support experiences and improvements to existing ones.

Requirements

  • Bachelor's degree in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field.
  • 5+ years of product or program management, product marketing, business development or technology experience.
  • Experience owning/driving roadmap strategy and definition.
  • Experience with end to end product delivery.
  • Experience with feature delivery and tradeoffs of a product.
  • Experience owning technology products.

Nice-to-haves

  • MBA.
  • Experience in delivering end-to-end customer research studies, including study design, fieldwork (qualitative research moderation and survey execution), analysis, recommendations, reporting and presentation of results to senior leadership.
  • Experience in leveraging advanced analytics, machine learning, and AI to enhance supply chain product capabilities and drive data-driven decision-making.

Benefits

  • Equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package.
  • Full range of medical, financial, and/or other benefits.
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