AI Builder, Amazon Ads Marketing

Amazon Amazon · Big Tech · NY +1 · Design

This role focuses on building AI-powered prototype solutions, agents, and automations to improve marketer productivity within Amazon Ads. The AI Builder will work with stakeholders to identify pain points, develop AI-native workflows, and ship AI use cases from pilot to production, establishing reusable frameworks and setting standards for AI transformation in marketing.

What you'd actually do

  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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.

Skills

Required

  • 6+ years of front-end technologist, engineer, or UX prototyper experience
  • coding samples in front end programming languages
  • available online portfolio
  • Experience developing visually polished, engaging, and highly fluid UX prototypes
  • Experience collaborating with UX, Product, and technical partners

Nice to have

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

What the JD emphasized

  • build prototype solutions, working agents, and production-ready tools
  • shipping AI-relevant use cases from pilot to production
  • build a new team
  • build the solutions that make it happen
  • prototypes and reference code will set the standard

Other signals

  • AI-native team
  • build solutions
  • AI-assisted development
  • build prototype solutions, working agents, and production-ready tools
  • shipping AI-relevant use cases from pilot to production
  • AI-native workflows
  • build the solutions that make it happen
  • prototypes and reference code will set the standard for how AI transforms marketing