Sr Technical Program Manager Amazon Payment Products

Description

We are seeking a Senior Technical Program Manager to lead the MAPLE (Marketing Automation Program and Learning Engine) Channels roadmap, driving the technical strategy and execution of L10 goals for payment product recommendations across Amazons core shopping experiences including Cart, Checkout, Add-to-Cart, and Detail Page placements.

Key Responsibilities

Own and drive the multi-year MAPLE Channels technical roadmap, balancing innovation with operational excellence across worldwide marketplaces

Lead cross-functional coordination across 8+ engineering teams (SDEs, SDMs), Product (PMTs), ML Science, Data Engineering, Design, and Marketing stakeholders

Manage complex technical programs including channel CX evolution, ML optimization experiments, and architectural migrations

Drive KTLO reduction initiatives and peak scaling operations for systems handling 100K+ TPS and 3B+ daily impressions

Partner with Core Shopping teams (Cart, Checkout, Shopping Foundations) on placement integrations and CX redesigns

Manage dependencies and technical trade-offs across Amazon Payments, ensuring alignment on global prioritization criteria

Lead technical planning cycles (OP1, OP2, QBRs) and communicate program status to L8+ leadership

Drive productivity improvements through automation, reducing manual effort for marketing and engineering teams

Key job responsibilities

• Work on a variety of challenging problems that have the potential to significantly impact Amazon’s business and competitive position.
• Collaborate with groups of experts and cross-functional colleagues in an agile environment.
• Learn and grow by being exposed to multiple organizational problems in a short time frame.
• Be expected to discover, define, and apply scientific, engineering, and business best practice.
• Work with business leaders, scientists, and economists to translate business and functional requirements into concrete deliverables, including the design, roadmaps, development, testing, and deployment of highly scalable distributed services.
• Coordinate and drive design and implementation efforts across multiple teams.
  
  

Anticipate bottlenecks, evaluate tradeoffs and provide escalation management, balancing the business versus technical constraints

Partner with scientists, economists, and engineers to help deliver scalable ML and econometric models while building tools to help our customers gain and apply insights.

About The Team

Amazon Payment Products (APP) Tech organization owns technology that serves all APP businesses, including Co-branded Credit Cards (CBCC), Installments, Gift Cards and Shop with Points. MAPLE (Marketing Automation Program and Learning Engine) is a foundational Payment Product and Financial Service Merchandising and Discoverability platform that rendered over 1.02T impressions across 13 locales, supporting internal payment product and delivering optimized experiences to Amazon customers.

Basic Qualifications

• 5+ years of technical program management working directly with software engineering teams experience
• Bachelors degree in engineering, computer science or equivalent
• Strong technical background with ability to understand distributed systems, ML/AI technologies, and service-oriented architectures
• Proven track record of delivering large-scale programs on time and driving measurable business impact
• Experience managing complex, cross-functional technical programs with multiple stakeholders
  
  

Preferred Qualifications

• Experience managing projects across cross functional teams, building sustainable processes and coordinating release schedules
• Experience defining KPIs/SLAs used to drive multi-million dollar businesses and reporting to senior leadership
• Master of Business Administration, or Masters degree in a technical field
• Experience in payments, financial services, or advertising technology
• Knowledge of machine learning systems and experimentation frameworks
• Experience with AWS native applications and high-traffic distributed systems
• Strong data-driven decision making and analytical skills
  
  

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.


Company - ADCI - Karnataka

Job ID: A3191923

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