AI Design Technologist, Marketing Productivity, Amazon Ads Marketing

Amazon Ads Marketing is building an AI-native team to drive the transformation of the marketing organization to integrate AI into our operating model with precision and scale. We are looking for AI Builders who are passionate about using AI-assisted development to build solutions that make marketers dramatically more productive.
As a design technologist on this team you will operate at the intersection of AI-native development UX design and marketing operations. You will build prototype solutions working agents and production-ready tools that solve marketer pain points. Your work will directly drive the organizations productivity goals by shipping AI-relevant use cases from pilot to production.
This is a ground-floor opportunity to build a new team approaching the work through AI-native workflows. You will work closely with marketing stakeholders UX designers product managers and engineering partners to identify where AI can absorb labor-heavy work then build the solutions that make it happen. Your prototypes and reference code will set the standard for how AI transforms marketing at Amazon Ads.
You are an independent contributor. You build prototypes and working samples that creatively solve difficult business and technology constraints. Your scope is on medium-to-large projects where the product strategy is often defined but the UX and technology approach is not. You engage proactively with stakeholders to define priority use cases logical workflows and tech-forward solutions.


Key job responsibilities
Build AI-powered prototype solutions agents and automations that solve Ads Marketing pain points. Produce working samples agent frameworks and reference code demonstrating how AI-powered marketing workflows can be implemented and scaled.
Transform defined UX and marketing workflow ideas into working code using AI-assisted development tools and technologies (Python JavaScript Node AWS services API integrations). Prototype and ship AI use cases from pilot to production directly contributing to productivity goals.
Work backward from marketers and collaborate with product design and engineering teams to iterate on optimal experiences. Identify UX and workflow issues before the dev/test cycle when fixes are less costly.
Evaluate first-party and third-party AI tools and their integration with core marketing systems ensuring solutions account for real-world constraints. Develop reusable prototyping methods agent frameworks and reference architectures enabling rapid problem-solving.
Contribute to creating and adopting prototyping tools frameworks and platforms for the team and broader marketing organization. Document prototypes to preserve intent and learnings for future team members.
Participate in design reviews present work to stakeholders and advocate for the marketers perspective in all AI-powered solutions.



A day in the life
This AI Builder prototypes AI-powered marketing solutions using AI-assisted development tools. They collaborate with internal stakeholders (UX designers product managers engineers marketing ops) and serve marketers within Amazon Ads Marketing as primary customers.

The role solves labor-intensive workflow problems by coding prototypes in Python/JavaScript designing AI agents evaluating tools for marketing integration and participating in design reviews. They move use cases from concept to production while establishing reusable frameworks that enable AI adoption across the marketing organization.

About the team
The Ads Marketing AI Enablement is a new team within Marketing Effectiveness & Intelligence (ME&I) responsible for driving the successful transformation of the Ads Marketing org to an AI native operating model. The teams primary measure of success is value-based productivity attributed to AI transformation.

- Experience as a front-end technologist engineer or UX prototyper
- Have coding samples in front end programming languages
- Have an available online portfolio
- Experience developing visually polished engaging and highly fluid UX prototypes
- Experience collaborating with UX Product and technical partners

- Knowledge of databases and AWS database services: ElasticSearch Redshift DynamoDB
- Experience with machine learning (ML) tools and methods

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