Sr Mgr, Product Management Lifecycle Experiences, Em Plx

Amazon Amazon · Big Tech · IN, KA, Bengaluru · Project/Program/Product Management--Technical

This role leads a team of product managers, marketers, and program managers to build systems, experiences, and intelligence that drive customer settlement at scale for Amazon's Emerging Markets. The products reach over 140MM customers annually and involve a deferred micro-currency and rewards system, a behavioral engagement engine, an AI-native orchestration platform for autonomous ML-driven campaign execution, and underlying ML models for reward optimization. The role requires a blend of product strategy, applied machine learning, and marketing science, with a focus on building category-defining products and architecting systems for customer engagement.

What you'd actually do

  1. Own the end-to-end lifecycle progression strategy across EM10 - from product vision and 3-year roadmap through quarterly goal setting, experimentation cadence, and P&L accountability.
  2. Drive settlement outcomes for 140MM+ customers through a unified toolkit of rewards, gamified experiences, and ML-powered orchestration.
  3. Build and scale an autonomous marketing orchestration platform - defining the product architecture where marketers input objectives and budgets, and the system selects audiences, deploys optimal campaign mixes, dynamically allocates rewards, and optimizes performance in real-time with minimal human intervention.
  4. Drive a cross-EM rewards program - scaling across 10 markets, managing program economics (earn rates, breakage, external funding), and evolving the construct from transactional lift to longitudinal habit formation. Own measurement rigor including causal incrementality frameworks for novel, longitudinal customer experiences.
  5. Lead the progression intelligence roadmap - partnering with science teams to evolve ML models that determine the right action, the right reward amount, and the right timing per customer. Drive adoption across categories and deliver incremental revenue through ML-optimized reward allocation.

Skills

Required

  • team management experience
  • roadmap strategy and definition
  • feature delivery and tradeoffs of a product

Nice to have

  • delivering consumer software products and services in a high growth environment

What the JD emphasized

  • AI-native orchestration platform
  • ML-driven campaign execution
  • ML models that optimize who gets rewarded, with what, and when
  • autonomous marketing orchestration platform
  • ML-optimized reward allocation
  • playbook is being written, not followed
  • most of the playbook is being invented

Other signals

  • AI-native orchestration platform
  • ML-driven campaign execution
  • ML models that optimize who gets rewarded, with what, and when
  • autonomous marketing orchestration platform
  • ML-optimized reward allocation