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 clear requirements, checklists, and embedded support.
• Coordinate pre-flight validation: data quality gates, signal checks, and integration testing.
• Ensure contract commitments are met before prototype begins.
Governance & Launch Readiness
• Coordinate shadow mode, launch readiness reviews (circuit breakers, fail-safes, RACI sign-off), and transition to steady-state operations with support handoff and monitoring.
Pipeline & Reporting
• Maintain full pipeline visibility. Report program health with actionable metrics: onboarding velocity, time-to-production, blocker resolution.
• Partner with GTM to convert qualified demand into onboarding-ready tenants.

About the team
We operate at the intersection of product, science, and GTM — building a platform that connects decision systems across Amazon so that one signal makes all of them smarter. The platform is live with founding tenants, scaling to broad GA, and building pipeline for pan-Amazon adoption. This role is critical to ensuring that every tenant that enters the funnel moves through onboarding with velocity, quality, and trust.
You will work directly with platform leadership, applied science, engineering, BA/RAs, and tenant-side stakeholders to drive the operational machinery that turns platform readiness into production impact — one tenant at a time, then many in parallel.

Basic qualifications

• 5+ years of working cross functionally with tech and non-tech teams experience
• 5+ years in program management, technical program management, or platform operations roles
• Experience managing multi-party programs with cross-organizational dependencies and competing priorities
• Demonstrated ability to drive programs in environments with ambiguity — where processes don't exist yet and must be built while executing
• Strong stakeholder management skills — comfortable holding senior leaders accountable to commitments and escalating decisively when programs are at risk
• Track record of managing parallel workstreams (5+ concurrent programs) with clear milestone tracking and proactive risk management
• Excellent written communication — able to produce clear program documents, status reports, and playbooks that scale beyond the individual

Preferred qualifications

• Master's degree, or MBA in management, business administration, economics, engineering, marketing
• Experience in platform onboarding, developer ecosystem programs, or internal tooling adoption at large-scale technology organizations
• Familiarity with data platform or ML/AI product ecosystems — comfortable navigating conversations about data readiness, model validation, and production governance
• Background in building scalable onboarding processes that reduce per-tenant effort over time (self-serve model design)
• Experience with change management in multi-org environments — driving adoption where commitment requires budget, headcount, and cross-functional alignment

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