Full-Time

Senior Technical Program Manager

Amazon Payment Products

Amazon

Amazon

10,001+ employees

Global online marketplace and cloud services

No salary listed

Bengaluru, Karnataka, India

In Person

Category
Business & Strategy (1)
Required Skills
Machine Learning
Data Engineering
Requirements
  • 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
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
  • 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.
Desired Qualifications
  • 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

Amazon operates a global e-commerce platform with a large online marketplace that connects consumers to both direct sales and third-party sellers across many product categories. It earns money from product sales and marketplace fees, Amazon Prime subscriptions, and AWS cloud services, plus a large Amazon Associates affiliate network. The platform combines fast shipping, streaming, cloud computing, and digital services to reach customers across numerous countries. Its goal is to be the world’s most customer-centric company by offering convenient access to a wide range of products and services.

Company Size

10,001+

Company Stage

IPO

Headquarters

Seattle, Washington

Founded

1994

Simplify Jobs

Simplify's Take

What believers are saying

  • Custom AI chips hit $20B run rate with $225B backlog.
  • Bedrock customer spending surges 170% sequentially in Q1 2026.
  • €15B France investment builds AI logistics through 2028.

What critics are saying

  • Rokos Capital cuts 27% Amazon stake in Q4 2025.
  • Tokenmaxxing with MeshClaw triggers EU AI Act fines.
  • 30-minute delivery inflates costs like Domino's 1993 failures.

What makes Amazon unique

  • AWS dominates cloud computing with $37.6B Q1 2026 revenue, up 28%.
  • Trainium3 chips deliver 30-40% better price-performance than GPUs.
  • Amazon Supply Chain Services opens logistics to P&G and 3M.

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Headcount

6 month growth

-2%

1 year growth

-1%

2 year growth

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