The Opportunity
What if you could teach machines to make millions of delivery decisions - faster, smarter, and more efficiently than ever before? We're looking for a Senior Product Manager - Tech who's obsessed with the intersection of artificial intelligence and real-world operations to join Amazon's Sub Same Day team. This isn't about incremental optimization. This is about building intelligent systems that autonomously orchestrate one of the most complex delivery networks on the planet - in real time, at massive scale.
You will define and drive the product roadmap for AI/ML-powered solutions across the Sub Same Day delivery network - from supply chain planning and real-time capacity allocation to delivery and anomaly detection. You'll identify high-impact business problems ripe for AI disruption, translate them into well-scoped technical product requirements, and build the business case to secure investment. Your multi-year product vision will leverage state-of-the-art techniques - large language models, reinforcement learning, computer vision, and graph neural networks - to fundamentally reimagine how last-mile delivery works at Amazon scale.
You will serve as the connective tissue between data scientists, system development engineers, business intelligence engineers - ensuring technical feasibility, architectural soundness, and delivery velocity. You'll own the end-to-end product lifecycle: from problem framing and data pipeline design through model development, A/B experimentation, production deployment, and continuous iteration. This means making hard trade-off decisions across model accuracy, latency, infrastructure cost, and customer experience - with a deep understanding of the technical constraints and opportunities. You'll drive technical debt reduction and platform scalability, ensuring AI systems are production-grade, fault-tolerant, and built for exponential growth.
You will partner with operations, logistics, finance, and science teams to ensure AI solutions are grounded in operational reality and deliver measurable business value. You'll influence senior leadership with data-driven narratives, translating complex ML concepts into clear strategic recommendations, and build scalable processes for feature prioritization, sprint planning, and release management across distributed engineering teams.
What Makes This Role Different
Your AI products will make decisions affecting millions of packages daily across Amazon's fastest-growing delivery channel. You'll work with large-scale ML platforms (SageMaker, custom training infrastructure), and production inference systems operating at sub-100ms latency. Sub Same Day is still early in its AI journey - you'll have the rare opportunity to define the foundational AI strategy from the ground up, not just optimize existing systems. From the data that feeds models to the customer experience those models create - you own the full stack of outcomes.
Key job responsibilities
- Lead the product strategy and roadmap for AI/ML initiatives in the Sub Same Day delivery network
- Orchestrate collaboration between data scientists, engineers, operations teams, and business stakeholders
- Define and prioritize product requirements based on customer needs and business impact
- Develop business cases and ROI analysis for new AI initiatives
- Drive technical requirement gathering and documentation
- Lead sprint planning and backlog prioritization sessions
- Monitor key performance metrics and adjust strategies based on data-driven insights
- Identify and resolve cross-team dependencies and conflicts
- Champion product innovations to senior leadership and key stakeholders
- Drive go-to-market/adoption strategies for new AI-powered features and capabilities
A day in the life
Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment.
The benefits that generally apply to regular, full-time employees include:
- Medical, Dental, and Vision Coverage
- Maternity and Parental Leave Options
- Paid Time Off (PTO)
- 401(k) Plan
If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you!
At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you're passionate about this role and want to make an impact on a global scale, please apply!
BASIC QUALIFICATIONS
- Bachelor's degree in engineering, statistics, computer science, operations research, business analytics, information systems or equivalent
- 5+ years of technical product or program management experience
- Experience owning/driving roadmap strategy and definition
- Experience with feature delivery and tradeoffs of a product
- Experience contributing to engineering discussions around technology decisions and strategy related to a product
- Experience managing technical products or online services
- Experience in representing and advocating for a variety of critical customers and stakeholders during executive-level prioritization and planning
PREFERRED QUALIFICATIONS
- Experience in using analytical tools, such as Tableau, Qlikview, QuickSight
- Experience in building and driving adoption of new tools
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, NY, New York - 166,300.00 - 225,000.00 USD annually
USA, WA, Bellevue - 151,200.00 - 204,600.00 USD annually
