Senior Technical Program Manager, Ads AI Core Infrastructure

Job :  |  Services LLC

Amazon Advertising is investing heavily in building AI-native data infrastructure, and our team sits at the center of that transformation. We own the Ads Real-Time Data Service and Advertiser Profiles: the systems that provide every advertising AI agent with immediate, structured access to advertiser context. Today, advertising agents and skills across Amazon depend on our platform to answer questions about campaign performance, budget allocation, brand positioning, and advertiser behavior within sub-second latency.

We process billions of data points daily with 1-3 minute refresh cadences, serving millions of advertisers across all Amazon marketplaces worldwide.

Our team is part of Ads AI Core Infrastructure (ACI), the organization responsible for the foundational systems that make Amazon's advertising AI possible: knowledge bases, runtime environments, agent tooling, and the real-time data layer that connects them all. The programs you will lead span the full lifecycle: from defining the data model and onboarding new advertiser signal types, to coordinating cross-organization launches with agent teams, measurement systems, and advertising console experiences.

You will own programs that touch 30+ engineering teams across 10 VP organizations, drive alignment between science teams developing new embedding and retrieval techniques and engineering teams product ionizing them, and manage the rollout of platform capabilities to advertising agents and skills across Amazon's global advertising business. The work is technically complex (distributed systems, real-time streaming, large language model optimization), organizationally complex (multiple VP-level stakeholders with competing priorities), and time-sensitive (agent teams are shipping new advertiser experiences weekly and depend on our platform to keep pace).

You own the multi-quarter roadmap for Advertiser Data and Profiles across both our team and our partner teams. You define program milestones, success metrics, and delivery timelines. You write and present the program narrative for OP1/OP2 documents and monthly business reviews to Directors and VPs. You make data-driven trade‑off recommendations when scope, resources, and timelines conflict, and you drive crisp decisions about what ships now versus what defers.

You manage programs spanning our platform engineering team, applied science teams building embedding and retrieval models, agent builder teams consuming our APIs, measurement and attribution teams depending on our data, and advertising console teams surfacing profile data to advertisers directly. You create and maintain program schedules that account for cross-team dependencies, negotiate resource commitments, and drive weekly execution cadence across all work streams.

When programs stall, you diagnose whether the block is technical, organizational, or resource‑based, and you drive resolution through the appropriate path.

You understand distributed systems architecture well enough to participate in design reviews, challenge assumptions about data freshness and consistency guarantees, and ensure that what we commit to delivering is technically feasible within the stated timeline. You work with engineers to decompose large programs into independently deliverable milestones. You ensure that real‑time ingestion pipelines, MCP server infrastructure, and profile computation systems meet their availability and latency commitments.

You own the launch readiness process for platform features consumed by 30+ downstream teams.