Automation & AI Eng Manager , Ad Services Process Improvement Engineering

Transform Amazon Advertising Operations by leading intelligent automation initiatives that enable launching our highest-value campaign. Combine the latest AI with enterprise automation to revolutionize how we operate across advertising teams. Shape the future of ad tech while driving Amazons digital transformation journey.

Key job responsibilities
Technical Leadership & Innovation
* Architect and implement AI-powered automation solutions for advertising campaign setup and management
* Maintain business continuity and Keep the Lights on for legacy RPA/UI Path Scripts
* Drive technical strategy and adoption of Amazon AI services including GenAI capabilities
* Review and approve engineering designs perform code reviews and maintain high technical standards
* Research and implement innovative AI/ML approaches to solve complex advertising automation challenges

Team Leadership & Development
* Strategically leverage peer Sr SDEs and Applied Scientist to influence design and technology choices
* Lead and grow a team of talented software development engineers building mission-critical systems
* Recruit mentor and develop high-performing engineering talent
* Foster a culture of engineering excellence and continuous learning
* Establish effective mechanisms for project planning development and operational excellence
Stakeholder Management & Communication
* Partner with business stakeholders to translate complex technical solutions into business value
* Drive cross-team collaboration across advertising organizations
* Communicate technical strategies and roadmaps to senior leadership
* Build and maintain strong relationships with product managers and business partners

Operational Excellence
* Own the end-to-end delivery of automation solutions that meet advertising business needs
* Establish and maintain high operational standards for service reliability and performance
* Drive continuous improvement in development practices and system architecture
* Implement effective DevOps practices and monitoring systems

A day in the life
The ideal engineering leader will demonstrate expertise in managing mission-critical legacy systems utilized by hundreds of internal users while simultaneously driving innovation through next-generation technology adoption. This leader must excel at building strong collaborative relationships with technical peers and subject matter experts across our global organization particularly with our Seattle-based teams to influence system design and technology decisions. As a foundational aspect of this role the successful candidate will spearhead the recruitment and development of a new engineering team with a focus on attracting and retaining top technical talent.

About the team
The Process Improvement Engineering (PIE) team sits at the intersection of Amazon Advertisings most critical operational workflows. Were a team of builders and innovators focused on transforming how Amazon launches and manages high-value advertising campaigns through intelligent automation. Our mission is to revolutionize advertising operations by combining the latest in AI technology with deep business knowledge.


- 3 years of systems engineering and operations leadership for an Internet service or leading edge IT organization experience
- 5 years of managing system or software development teams experience
- 7 years of relevant hands-on systems engineering and administrative work in networking storage systems operating systems experience
- Bachelors degree in Computer Science Engineering Mathematics or a related field
- Experience in systems engineering and operations leadership for an Internet service or leading-edge IT organization
- Experience in managing system or software development teams
- Experience (hands-on) in systems engineering and administrative work in networking storage systems and operating systems
- Experience in agile software development methodology
- 7-10 years of leadership experience in managing large a team of engineers who automate processes - Experience with one or more RPA technologies (E.g.: Automation Anywhere Blue Prism UiPath Amazon Q Amazon Diamond Toolkit framework) and ability to integrate to in-house platforms.

- Knowledge of professional software engineering & best practices for full software development life cycle including coding standards software architectures code reviews source control management continuous deployments testing and operational excellence
- Knowledge of systems engineering fundamentals (networking storage operating systems)
- Experience with Agile engineering practices (Kanban continuous delivery etc.)
- Experience with AWS platforms services and design patterns
- - Experience with Gen AI services frameworks and server side automation implementations. Exposure to LLM constraints pitfalls and implementation patterns.

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