Sr. Product Manager, Progression Intelligence
at Amazon
Posted 10 hours ago
No clicks
- Compensation
- Not specified
- City
- Not specified
- Country
- India, Mexico, Brazil, Saudi Arabia, United Arab Emirates, Australia, Singapore, South Africa
Currency: Not specified
As a Senior Product Manager on the Lifecycle Experiences team, you will own the product vision and execution roadmap for Progression Intelligence, at the intersection of machine learning, real-time decisioning, and customer lifecycle strategy. You will drive integration of rewards optimization, causal measurement, and action intelligence onto a unified platform, enabling faster experiments, more personalized interventions, and greater operational efficiency. You will work closely with applied scientists, software engineers, and marketing stakeholders to ship systems that delight millions of customers and define success metrics like model coverage and latency. You will lead roadmaps, align cross-team dependencies, and represent the charter in leadership reviews.
You will lead the technical integration of our rewards optimization, causal measurement, and action intelligence systems onto a unified agentic orchestration platform - enabling faster experimentation, more personalized interventions, and greater operational efficiency across all our emerging locales.
This is a deeply technical role that requires equal comfort with ML systems, API architecture, and product strategy. You will work closely with applied scientists, software engineers, and marketing stakeholders to ship systems that directly delight millions of customers.
Key job responsibilities
- Own the multi-year product roadmap for Progression Intelligence, including the phased migration of core ML models and decisioning systems onto a unified orchestration platform
- Define technical requirements and integration specifications for connecting rewards optimization, propensity modeling, causal incrementality measurement, and promotion configuration systems into a cohesive, real-time decisioning layer
- Partner with applied scientists to translate model outputs into actionable product features - including reward denomination optimization, next-best-action recommendations, and personalized campaign triggers
- Drive quarterly planning and prioritization across a portfolio of integrations, balancing technical debt, engineering capacity, and business impact
- Define and own success metrics for the Progression Intelligence platform - including model coverage, decisioning latency, incremental lift, and customer settlement outcomes
- Write product requirement documents and participate in technical design reviews, and lead alignment across engineering, science, and business stakeholders
- Represent the Progression Intelligence charter in senior leadership reviews, including weekly business reviews and annual planning cycles
- Identify and resolve technical dependencies and cross-team blockers to keep the integration roadmap on track
About the team
The Lifecycle Experiences team is on a mission to deepen customer engagement across Amazon's fastest-growing marketplaces. We own the end-to-end customer lifecycle - from first purchase to habitual shopping - across India, Mexico, Brazil, Turkey, Saudi Arabia, UAE, Australia, Singapore, and South Africa. Our north star is moving customers from occasional buyers to loyal, high-frequency shoppers.
We build and scale programs including Gamified Experiences, Rewards, Promotions Orchestration, and Personalization - reaching millions of customers across our fast growing marketplaces. We operate at the intersection of product, marketing, and data science, and we move fast.
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 with feature delivery and tradeoffs of a product
- Experience as a product manager or owner
- Experience owning technology products
Preferred Qualifications
- Experience in influencing senior leadership through data driven insights- Experience working across functional teams and senior stakeholders
- Master's degree or equivalent
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