We are building Amazon's first horizontal self-serve decisioning platform — an intelligence layer that upgrades static rule-based systems into outcome-learning, context-aware decision engines. The platform serves multiple tenants across multiple organizations and domains, each requiring structured onboarding, cross-org coordination, and production launch governance.
We are looking for a Program Manager to own tenant onboarding execution end-to-end — from first contact through production launch and steady-state operations. This role operates at the intersection of platform product, tenant engineering, and business stakeholders — orchestrating complex multi-party programs where each tenant brings a different tech stack, org structure, data readiness level, and decision type.

Key job responsibilities
Tenant Onboarding Execution
• Own the end-to-end onboarding lifecycle — contract → data readiness → prototyping → shadow mode → production launch.
• Manage parallel tracks across multiple tenants simultaneously at different stages.
• Drive timelines against committed milestones,



identify blockers early, and escalate decisively across cross-org dependencies.
Cross-Org Stakeholder Management
• Navigate multi-persona commitment structures (builder, system owner, sponsor) across organizational boundaries.
• Coordinate across platform engineering, applied science, BA/RA teams, and tenant-side engineering.
• Serve as the single-threaded owner tenant leadership engages with throughout onboarding.
Process Design & Operational Excellence
• Design and iterate on scalable onboarding processes — playbooks, health dashboards, RACI matrices, milestone trackers.
• Drive process improvements as the platform moves from bespoke onboarding to self-serve at scale.
Data Readiness & Pre-flight
• Drive data readiness (the #1 time sink) by providing transparent requirements, checklists, and embedded support.
• Coordinate pre-flight validation: data quality gates, signal checks, and integration testing

📌 Senior Program Manager Bengaluru (India)
🏢 Amazon
📍 India