Amazon Advertising is one of Amazon's fastest growing and most profitable businesses. Amazon's advertising portfolio helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of their products sold through Amazon. The primary goals are to help shoppers discover new products they love, be the most efficient way for advertisers to meet their business objectives, and build a sustainable business that continuously innovates on behalf of customers.

Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day!

The Creative Building team is part of a newly formed, VP-led organization named CreativeX, which sits within Amazon Advertising. Its mission is to democratize access to high-quality creatives.



Key job responsibilities
AI Tool Leadership & Innovation:
*Champion and lead the adoption of AI tools across engineering teams, driving measurable productivity gains.
*Establish best practices and frameworks for AI tool integration into existing workflows.
*Serve as the subject matter expert on AI-assisted development, testing, and operational tools.
Identify opportunities to leverage generative AI and other emerging technologies to solve complex technical challenges.

Complex Cross-Organizational Program Management:
*Lead high-impact, multi-organizational programs with ambiguous scope and competing priorities.
*Drive alignment across diverse stakeholder groups where product presence may be limited or emerging.
*Navigate complex technical dependencies and organizational boundaries to deliver results.
*Build and maintain strong relationships with engineering, product, and business leaders across the organization.

Hands-On Technical Leadership:
*Roll up your sleeves to understand technical details, unblock teams, and drive execution.
*Lead by example in adopting new tools and methodologies.
*Manage and mentor teams in areas with evolving product strategies.
*Make data-driven decisions and establish metrics to measure program success

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A day in the life
1) Drive cross-functional planning, leading discovery and prioritization by closely partnering with product managers and engineering leads to develop program plans that include roadmaps, dependency identifications, and resourcing plans
2) Ascertain the true requirements underlying feature requests; recommend alternative technical approaches and lead engineering efforts to meet challenging timelines
3) Communicate clearly and effectively to executive management on plans, status, and critical issues
4) Partner as a technical liaison between product and engineering teams