Sr. Technical Program Manager, Amazon Payment Products

Amazon Amazon · Big Tech · IN, KA, Bengaluru · Software Development

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 Amazon's core shopping experiences. This role involves managing complex technical programs, ML optimization experiments, and architectural migrations for systems handling high transaction volumes and impressions. The role also requires partnering with various teams including ML Science and Data Engineering to deliver scalable ML and econometric models.

What you'd actually do

  1. Own and drive the multi-year MAPLE Channels technical roadmap, balancing innovation with operational excellence across worldwide marketplaces
  2. Lead cross-functional coordination across 8+ engineering teams (SDEs, SDMs), Product (PMTs), ML Science, Data Engineering, Design, and Marketing stakeholders
  3. Manage complex technical programs including channel CX evolution, ML optimization experiments, and architectural migrations
  4. Drive KTLO reduction initiatives and peak scaling operations for systems handling 100K+ TPS and 3B+ daily impressions
  5. Partner with Core Shopping teams (Cart, Checkout, Shopping Foundations) on placement integrations and CX redesigns

Skills

Required

  • 5+ years of technical program management working directly with software engineering teams experience
  • Bachelor's 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

Nice to have

  • Experience managing projects across cross functional teams, building sustainable processes and coordinating release schedules
  • Experience defining KPI's/SLA's used to drive multi-million dollar businesses and reporting to senior leadership
  • Master of Business Administration, or Master's 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

What the JD emphasized

  • ML optimization experiments
  • scalable ML and econometric models

Other signals

  • lead cross-functional coordination across 8+ engineering teams
  • ML optimization experiments
  • systems handling 100K+ TPS and 3B+ daily impressions
  • Partner with Core Shopping teams on placement integrations
  • Partner with scientists, economists, and engineers to help deliver scalable ML and econometric models