Software Development Manager, Advertiser Experience Frameworks

We're building the AI-powered agent experience for Amazon Ads — the chat-first interface that will change how hundreds of thousands of advertisers manage campaigns, analyze performance, and optimize strategy on Amazon. We need an SDM to lead this from the front.
Amazon Advertising helps advertisers reach and engage audiences across our digital properties, premium third-party sites, streaming TV, and millions of devices. The Advertiser Experience Frameworks team owns the experience layer of the Ads Agent — the chat interface, advertiser-facing communications, feedback systems, and the frameworks and services that enable dozens of partner teams to integrate agent capabilities into their pages across the Amazon Ads Console.
We are looking for a Software Development Manager to lead a team building these experiences and the platform that powers them. This is not a purely technical execution role. You'll need strong product instincts — the ability to look at an advertiser workflow, understand where friction exists, and form a point of view on how agent-driven experiences should work before a PRD lands on your desk. You'll need to either bring knowledge of the advertising business or demonstrate the curiosity and learning speed to develop it quickly, because the quality of your technical decisions depends on understanding how advertisers actually think about campaigns, budgets, targeting, and performance measurement.
The role spans the full web stack — from front-end chat interfaces and UI frameworks to middleware services, APIs, event architectures, and the operational infrastructure required to run a global, high-availability website. You'll drive the integration of agent-driven workflows into multiple surfaces across the Ads Console, while also building and maintaining the framework layer that partner teams depend on to bring these capabilities into their own console pages.
This is a horizontal team role. Dozens of teams across Amazon Ads will integrate with your frameworks and services. The right candidate thrives in this model — you're comfortable setting technical direction that other teams build on, skilled at negotiating API contracts and integration patterns across organizational boundaries, and experienced at maintaining platform quality and reliability even as adoption scales rapidly. You know how to balance speed and quality when both matter equally: moving fast enough to stay ahead of a rapidly evolving space while maintaining the bar that partner teams and advertisers depend on.
The right candidate has built and operated web systems at scale across multiple layers of the stack, has recent hands-on experience building AI-powered products (particularly with LLM-based or agent-oriented systems), and brings product thinking to every technical decision. You don't need a decade of AI experience, but you do need real, demonstrable work with these technologies, a strong point of view on how they change both software development practices and user experiences, and either advertising domain knowledge or a track record of ramping quickly in complex business domains.


Key job responsibilities
* Lead and grow a high-performing engineering team delivering the Ads Agent chat experience, supporting services, and the agent integration framework that dozens of partner teams use to bring agent capabilities into their Ads Console pages.
* Drive technical vision and architecture across the full web stack — front-end frameworks, middleware services, APIs, and event architectures — making decisions on skills-based versus agent-based approaches, integration contracts, and patterns that scale across the organization.
* Bring strong product thinking to technical decisions — develop deep understanding of advertiser workflows, pain points, and goals so that architecture and experience decisions are grounded in how advertisers actually use the product, not just what's technically elegant.
* Operate as the technical leader of a horizontal platform team: set direction that other teams build on, negotiate integration patterns across organizational boundaries, and maintain framework quality and reliability as adoption grows.
* Balance speed and quality as a core discipline — move fast enough to lead in a rapidly evolving space while maintaining the reliability, performance, and operational bar that partner teams and hundreds of thousands of advertisers depend on.
* Partner with Product and UX as a true thought partner — not just translating requirements into technical solutions, but actively shaping the advertiser experience vision based on technical possibilities, business context, and user behavior insights.
* Partner with Applied Science teams to define evaluation methodologies and tooling that ensure agent response quality meets a high bar before reaching advertisers.
* Establish engineering best practices for AI-native development — including design review mechani