AI Design Technologist, Marketing Productivity, Amazon Ads Marketing

Amazon is hiring an AI Design Technologist, Marketing Productivity, Amazon Ads Marketing in London, United Kingdom. Level rates it ; you can apply on Amazon.

Level's read on this job

On Level's scale, this marketing role is Works on AI ●●●○: the daily work is on AI products, without building the model.
The posting mentions Python, JavaScript and Node among its tools and skills.
Level classes it as a senior role.
Amazon has 20,000+ other open roles on Level.

AI in this role

Design technologist building AI-powered prototypes, agents, and automation tools to increase marketing productivity.

PythonJavaScriptNodeAWS

ai-agentsai-assisted-developmentprototypingux-designagent-frameworks

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 organization's 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 marketer's 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 team's primary measure of success is value-based productivity attributed to AI transformation.

Basic qualifications

- 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

Preferred qualifications

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

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

How we rate this

AI Design Technologist, Marketing Productivity, Amazon Ads Marketing at Amazon rates 75 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

AI Design Technologist, Marketing Productivity, Amazon Ads Marketing is an open job at Amazon.
Level rates this role AI Level 3 of 4: Works on AI.
The role is based in GB, London.
The job was posted on May 8, 2026.
Seniority: senior.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI agentsAI Assisted DevelopmentPrototypingUX DesignAgent FrameworksPythonJavaScriptNode

Also common in marketing jobs at this level

LLM SQL Generative AI Azure RAG Databricks

Pay

Typical marketing job: $146k

This posting doesn't list pay. Use the typical marketing figure when pay comes up. See marketing jobs

Questions you could be asked

How do you decide when an AI agent can act on its own versus asking for approval first?
Tell me about a project where ai assisted development was part of your work. What did you do?
Tell me about a project where prototyping was part of your work. What did you do?
Tell me about a project where ux design was part of your work. What did you do?
Tell me about a project where agent frameworks was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: AI agents, AI Assisted Development, Prototyping, UX Design, and Agent Frameworks. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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