Amazon Middle Mile Operations Jobs (NOW HIRING)

The Network Engineering, Scheduling, Technology (NEST) Science team within the Amazon Transportation Services organization is looking for an experienced Senior Product Manager to build, launch, and scale Generative AI (GenAI) and data science products supporting planning and execution across Amazon's middle mile transportation network. We are a product-driven science team that owns a suite of prediction and optimization models which optimize the departure times of trucks, predict package flows between nodes, and support truck scheduling across North America.
In this role, you will work with a cross-functional set of stakeholders to identify business problems and then work backwards from them with the Scientists on our team to build the right data science products. You will be responsible for aligning business outcomes with scientific research, making critical use case selection decisions that balance the capabilities and limitations of GenAI with other approaches. You will make key strategic decisions on how we solve the
complex problems in our transportation network and present them to senior leadership.
The ideal candidate will bring a track record of successful product deliveries with GenAI applications, a deep understanding of the capabilities and limitations of GenAI, and the ability to solve highly ambiguous problems at scale.
Key job responsibilities
- Define and drive the product vision, strategy, and roadmap for our team of scientists
- Work across organizational boundaries to drive product vision alignment with cross-functional stakeholders
- Identify, define, and work backwards from business problems in Amazon's middle mile transportation network to launch new products that solve the right problems
- Provide the bridge between Program, Science, and Engineering to define requirements, scope minimum lovable product, and drive adoption.
- Write product strategy and requirement documents
- Align scientific research to business priorities and outcomes
BASIC QUALIFICATIONS
- 5+ years of product or program management, product marketing, business development or technology experience
- Bachelor's degree or equivalent
- Experience owning/driving roadmap strategy and definition
- Experience with end to end product delivery
- Experience as a product manager or owner
- Experience owning technology products
- Knowledge of GenAI concepts and practical applications in business contexts
PREFERRED QUALIFICATIONS
- Experience in influencing senior leadership through data driven insights
- Experience in transportation and supply chain
- Experience working effectively with science, data processing, and software engineering teams
- Experience integrating GenAI solutions and tools into business operations at scale
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Bellevue - 136,000.00 - 184,100.00 USD annually