Were seeking a Senior AI Product Manager to lead and scale the next generation of artificial intelligence solutions for Amazons Sub Same Day business. At this senior level you will own the comprehensive AI strategy and execution roadmap across multiple product lines and teams. Youll be responsible for driving organizational-level impact influencing senior leadership decisions and architecting solutions that will define the future of Amazons delivery capabilities.
As a key strategic leader you will revolutionize how we leverage AI/ML to optimize our Sub Same Day delivery network enhancing customer experience while driving operational excellence at unprecedented scale. Youll be at the forefront of integrating AI technologies like large language models computer vision and predictive analytics to solve complex challenges. This role requires a unique blend of technical depth business acumen and strategic leadership to transform our last-mile delivery operations across global markets.
In this highly visible position youll have the opportunity to shape the future of Amazons delivery innovation working directly with senior leadership to define and execute strategies that will set new industry standards. Youll be responsible for building and leading high-performing teams while fostering a culture of innovation ownership and customer obsession.
Key job responsibilities
- Define and execute a comprehensive multi-year AI/ML strategy for the global Sub Same Day network
- Lead complex cross-organizational AI initiatives that span multiple geographies
- Architect product strategies aligned with Amazons long-term vision
- Drive innovation by staying ahead of emerging AI technologies and market trends
- Establish robust governance frameworks and success metrics for AI implementations
A day in the life
Your day will be a dynamic blend of strategic thinking and hands-on product development. Youll collaborate with cross-functional teams dive deep into AI technologies like large language models and predictive analytics and translate complex technical challenges into elegant scalable solutions that drive operational excellence.
About the team
We are a forward-thinking group dedicated to pushing the boundaries of AI-driven delivery solutions. Our team is passionate about creating transformative technologies that redefine how customers experience last-mile delivery. We value innovation collaboration and a relentless commitment to solving complex logistical challenges.
- Bachelors degree or above in computer science computer engineering or related field
- Experience in leading large-scale technical or engineering programs with a proven record of thought leadership business case development realizing customer benefits and successful program completion
- Experience partnering with product and program management teams
- Knowledge of deep learning machine learning and statistics
- Experience in problem solving and data analytics
- 10 years of product management experience with 3 years focusing on AI/ML products
- Experience engaging and influencing senior executives
- Experience building large-scale machine learning and AI solutions at Internet scale
- Experience with distributed systems at scale
- Masters degree in Computer Science AI or related field
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
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Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $160300/year in our lowest geographic market up to $265000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.