Design Technologist, Agentic AI & Marketing Automation

📍 Job Overview

Job Title: Design Technologist, Agentic AI & Marketing Automation

Company: Amazon

Location: New York, New York, United States (On-site) / Seattle, Washington, United States (On-site)

Job Type: Full-Time

Category: Marketing Operations / Revenue Operations / UX Engineering

Date Posted: May 17, 2026

Experience Level: 6+ Years (Mid to Senior Level)

Remote Status: On-site

🚀 Role Summary

• Drive the integration of Agentic AI and advanced marketing automation into Amazon's omnichannel production workflows, focusing on enhancing efficiency and scale.

• Bridge the gap between marketing stakeholders, AI engineering, and UX design to translate complex automation concepts into tangible, user-centric solutions.

• Develop and implement AI-driven automation experiences, including building functional integrations between workflow management systems, AI tooling, and third-party platforms.

• Prototype AI-powered solutions, establish reusable prototyping frameworks, and create reference implementations to elevate the team's AI deployment capabilities.

• Define and monitor key performance metrics for AI-driven workflows, measuring their impact on conversion, retention, and overall operational efficiency.

📝 Enhancement Note: This role sits at the critical intersection of cutting-edge AI development, user experience design, and operational efficiency within Amazon's marketing domain. It requires a unique blend of technical execution, strategic thinking, and cross-functional collaboration to drive significant improvements in marketing production at scale. The emphasis on "Agentic AI" suggests a focus on AI systems that can autonomously perform tasks and make decisions within defined parameters, directly impacting operational workflows.

📈 Primary Responsibilities

• Design and implement agentic AI workflows tailored for channel production automation, leveraging Amazon's internal AI tools and external platforms.

• Transform user experience (UX) and workflow concepts into functional code using Python, JavaScript, Node.js, AWS services, and API integrations.

• Prototype and validate agentic AI use cases from initial concept through pilot phases, directly contributing to productivity and efficiency goals.

• Collaborate closely with product managers, designers, and engineering teams to iterate on optimal user experiences and proactively identify workflow issues prior to development and testing.

• Evaluate both internal (1P) and third-party (3P) AI tools for seamless integration with core marketing systems, considering real-world operational constraints and scalability.

• Develop and maintain reusable prototyping methods, agent frameworks, and reference implementations to democratize AI capabilities across the marketing organization.

• Provide hands-on technical integration support, including debugging complex workflows and implementing robust solutions to unblock team initiatives and accelerate project timelines.

• Define, track, and optimize performance metrics for AI-driven workflows, with a keen focus on measuring impact on key business outcomes such as customer conversion, retention rates, and operational efficiency.

• Actively share developed frameworks, design patterns, and key learnings with global marketing teams to foster the widespread adoption and scaling of AI automation best practices.

📝 Enhancement Note: The responsibilities highlight a hands-on approach to technical implementation, emphasizing the ability to translate abstract concepts into working code and functional prototypes. The "work backward from the customer experience" principle is a core Amazonian tenet, indicating that user impact and ease of use are paramount in designing these automation solutions. The need to evaluate both internal and external tools suggests a strategic approach to technology selection and integration.

🎓 Skills & Qualifications

Education: While no specific degree is mandated, a strong academic foundation in Computer Science, Design, Human-Computer Interaction, or a related technical field is highly beneficial. Equivalency of experience will be considered.

Experience: Minimum of 6+ years of progressive experience in front-end technology, UX prototyping, or a related engineering role, coupled with a demonstrable track record of delivering impactful digital experiences.

Required Skills:

• Proven experience in front-end development and UX prototyping, with a strong portfolio showcasing visually polished, engaging, and fluid user interface prototypes.

• Proficiency in transforming UX and workflow concepts into working code, utilizing languages such as Python, JavaScript, and Node.js.

• Hands-on experience with API integrations and cloud platforms, particularly Amazon Web Services (AWS).

• Solid understanding of web technologies, including HTML5, CSS3, and responsive/adaptive design principles.

• Experience collaborating effectively with cross-functional teams, including UX designers, Product Managers, and technical partners.

• Ability to design, execute, and troubleshoot complex technical solutions.

• Strong analytical and problem-solving skills, with a data-driven approach to evaluating performance metrics.

Preferred Skills:

• 4+ years of dedicated workflow design and implementation experience.

• Experience developing, deploying, and managing AI or Machine Learning (ML) products and solutions at scale.

• Familiarity with Machine Learning (ML) tools and methodologies.

• Knowledge of database technologies and AWS database services, including ElasticSearch, Redshift, and DynamoDB.

• Experience with customer relationship management (CRM) and marketing automation platforms such as Salesforce Marketing Cloud, Adobe Experience Manager (AEM), or similar systems.

• Experience in native mobile development (Android/iOS), Objective-C, Swift, C#, Java, or SQL.

• Experience developing technical training materials and content.

📝 Enhancement Note: The requirement for an online portfolio and coding samples emphasizes the practical, hands-on nature of this role. The blend of front-end development, UX, and AI/automation points towards a "full-stack" technologist with a design-centric approach. The preferred qualifications indicate a strong desire for candidates who have already navigated the complexities of deploying AI/ML solutions and are familiar with enterprise-level marketing technology stacks.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• A comprehensive online portfolio demonstrating a range of front-end development and UX prototyping projects, with a clear focus on user experience and technical execution.

• Showcase at least 2-3 detailed case studies of projects where you designed, prototyped, and implemented interactive digital experiences or automated workflows.

• Include functional code samples (e.g., GitHub repository links) that highlight proficiency in required programming languages (Python, JavaScript, Node.js) and API integrations.

• Evidence of projects that solved complex user problems or improved operational efficiency through design and technology.

Process Documentation:

• Demonstrate a structured approach to workflow design and optimization, showing how you move from concept to a validated, efficient process.

• Provide examples of how you have documented implementation steps for complex technical solutions or automation initiatives.

• Showcase your ability to define and measure the performance of implemented processes using relevant metrics and analytics.

📝 Enhancement Note: For this type of role, the portfolio is paramount. It needs to go beyond static mockups and demonstrate the ability to build interactive prototypes and functional integrations. Candidates should be prepared to articulate the "why" behind their design choices and the "how" of their technical implementation, focusing on efficiency gains and user impact.

💵 Compensation & Benefits

Salary Range:

• New York, New York: $169,600 - $229,500 USD annually

• Seattle, Washington: $154,200 - $208,600 USD annually

Benefits:

• Comprehensive health insurance package, including medical, dental, vision, and prescription coverage.

• Basic Life & AD&D Insurance with the option for Supplemental Life Plans.

• Employee Assistance Program (EAP) and dedicated Mental Health Support.

• Medical Advice Line for health-related queries.

• Flexible Spending Accounts (FSAs) for healthcare and dependent care.

• Adoption and Surrogacy Reimbursement coverage.

• 401(k) retirement savings plan with employer matching.

• Generous Paid Time Off (PTO) policy.

• Paid Parental Leave for new parents.

• Sign-on payments to support transition.

• Restricted Stock Units (RSUs) as part of the long-term compensation package.

Working Hours: Standard full-time hours are expected, typically around 40 hours per week, with potential for flexibility depending on project demands and team needs.

📝 Enhancement Note: The salary ranges provided are specific to the listed locations (New York and Seattle). These are base salary estimates, and the total compensation will be significantly enhanced by sign-on bonuses and Restricted Stock Units (RSUs), which are standard for senior technical roles at Amazon. The benefits package is extensive, reflecting Amazon's commitment to employee well-being and financial security.

🎯 Team & Company Context

🏢 Company Culture

Industry: E-commerce, Cloud Computing, Digital Advertising, Artificial Intelligence. Amazon is a global leader across multiple technology-driven sectors, constantly innovating and expanding its reach.

Company Size: Extremely Large (Over 10,000 employees, likely hundreds of thousands globally). This scale offers immense resources, complex challenges, and opportunities for impact across vast organizational structures.

Founded: 1994. With a long history of innovation, Amazon has a deeply ingrained culture of customer obsession, operational excellence, and continuous invention.

Team Structure:

• This role is part of the Amazon Ads Marketing team, specifically an "AI-native" team focused on transforming marketing production processes.

• The team likely comprises specialists in Agentic AI development, UX design, marketing operations, and potentially data science.

• Reporting structure will likely involve a direct manager who oversees AI/automation initiatives within the marketing domain, with significant cross-functional collaboration expected.

Methodology:

• Data-Driven Decision Making: Emphasis on using data and metrics to inform design, development, and operational improvements.

• Customer Obsession: Working backward from the customer experience to ensure solutions are valuable and user-friendly.

• Bias for Action & Innovation: Encouraging rapid prototyping, experimentation, and continuous improvement.

• Ownership & Accountability: Taking full responsibility for projects from conception to execution and impact measurement.

Company Website: https://www.amazon.com

📝 Enhancement Note: Amazon's culture is famously driven by its Leadership Principles. Candidates should familiarize themselves with principles like Customer Obsession, Ownership, Bias for Action, and Invent and Simplify, as these heavily influence day-to-day work and decision-making within any Amazon team. The "AI-native" designation for this team signals a forward-thinking approach to adopting and integrating advanced AI capabilities.

📈 Career & Growth Analysis

Operations Career Level: This is a mid-to-senior level role, identified as a "Design Technologist." It sits at the intersection of engineering, design, and operations, requiring significant technical expertise and the ability to drive strategic initiatives. The focus on Agentic AI and automation suggests a role with high influence on operational efficiency and marketing production scalability.

Reporting Structure: Typically, a Design Technologist would report into a Design Lead, Engineering Manager, or a Product/Program Manager overseeing specific AI or marketing technology initiatives. The role involves close collaboration with broader marketing teams and AI engineering groups.

Operations Impact: This role is designed for high impact. By automating and optimizing marketing production workflows using Agentic AI, the Design Technologist will directly contribute to increasing the speed, quality, and efficiency of marketing communications across multiple channels. This translates to significant cost savings, faster campaign deployment, and potentially improved campaign performance, all of which are critical for Amazon's advertising business.

Growth Opportunities:

• Technical Specialization: Deepen expertise in Agentic AI, specific AI platforms, advanced front-end development, or cloud-native architectures.

• Leadership Development: Transition into technical leadership roles, managing teams of technologists, or leading larger automation initiatives.

• Product Management: Move towards product management roles focused on AI tools or marketing technology solutions.

• Cross-functional Mobility: Explore opportunities within other Amazon divisions or product areas that leverage similar AI and automation technologies.

• Mentorship: Become a go-to expert and mentor for junior team members and other teams looking to adopt AI automation.

📝 Enhancement Note: Amazon offers robust internal mobility and career development programs. For a Design Technologist role with AI and automation focus, growth opportunities are plentiful, especially given the company's heavy investment in AI. Candidates should consider how their skills align with Amazon's need for technically adept individuals who can drive innovation and operational excellence.

🌐 Work Environment

Office Type: On-site. This role requires physical presence in the office, facilitating direct collaboration and hands-on work with team members and resources.

Office Location(s): New York City, NY, and Seattle, WA. These are major tech hubs offering vibrant work environments and access to talent.

Workspace Context:

• Expect a dynamic, fast-paced environment characteristic of Amazon.

• The workspace will likely support collaboration, with opportunities for team huddles, design reviews, and technical problem-solving sessions.

• Access to modern technology infrastructure, development tools, and potentially specialized AI/ML hardware or cloud environments.

• Direct interaction with a diverse team of engineers, designers, product managers, and marketing specialists, fostering a rich learning and collaborative atmosphere.

Work Schedule: Standard full-time, with an expectation of flexibility to meet project deadlines and urgent operational needs. While core hours are typical, some evenings or weekend work may be required during critical deployment phases or issue resolution.

📝 Enhancement Note: The on-site requirement in major tech hubs like NYC and Seattle suggests a preference for high-touch collaboration and access to extensive internal resources. Candidates should be prepared for a demanding yet highly rewarding work environment.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: Likely a recruiter screen to assess basic qualifications, experience alignment, and interest.

• Technical Phone Screen: A deeper dive into technical skills, problem-solving abilities, and experience with relevant technologies (Python, JavaScript, AWS, AI concepts).

May include coding challenges.

• On-site/Virtual Loop (1-2 days): Multiple interviews with various stakeholders, including:

  • Design/Prototyping Interview: Focus on portfolio review, design thinking, UX problem-solving, and prototyping methodologies. Candidates will present their work and discuss their approach.
  • Technical/Engineering Interview: In-depth coding challenges, system design questions related to AI/automation workflows, and discussions on AWS services and API integrations.
  • Behavioral Interviews: Assessing alignment with Amazon's Leadership Principles through situational and STAR-method questions. Focus on collaboration, ownership, and problem-solving.
  • Hiring Manager Interview: Discussion on role expectations, team dynamics, career aspirations, and overall fit.

• Debrief & Offer: The hiring team consolidates feedback, and an offer is extended if successful.

Portfolio Review Tips:

• Curate Strategically: Select 2-3 of your strongest, most relevant projects that showcase your skills in front-end development, UX prototyping, and ideally, AI/automation or workflow optimization.

• Tell a Story: For each project, clearly articulate the problem statement, your role and contributions, the design and technical process followed, the challenges overcome, and the measurable impact or outcome. Use visuals and interactive demos where possible.

• Highlight Technical Execution: Be prepared to discuss the code, architecture, and technical decisions made. If possible, have live demos or functional prototypes ready.

• Quantify Impact: Whenever possible, use metrics to demonstrate the success of your work – e.g., "improved user task completion time by X%," "reduced operational cost by Y," "increased automation coverage by Z%."

• Connect to the Role: Explicitly draw parallels between your portfolio projects and the requirements of this Design Technologist role at Amazon, especially concerning Agentic AI and marketing automation.

Challenge Preparation:

• Coding Proficiency: Brush up on Python, JavaScript (Node.js), and potentially data structures and algorithms. Practice coding challenges on platforms like LeetCode or HackerRank.

• System Design: Prepare for system design questions related to building scalable, AI-driven workflows, integrating various systems, and handling data. Think about API design, data flow, and error handling.

• Leadership Principles: Practice answering behavioral questions using the STAR method (Situation, Task, Action, Result), focusing on Amazon's core principles.

• AI/Automation Concepts: Be ready to discuss AI concepts, potential use cases in marketing, and the challenges of implementing AI solutions at scale. Understand the difference between traditional automation and Agentic AI.

📝 Enhancement Note: Amazon interviews are known for their rigor. The emphasis on Leadership Principles means candidates must demonstrate not just technical prowess but also cultural fit and behavioral competencies. The portfolio review is a critical component, serving as the foundation for many interview discussions.

🛠 Tools & Technology Stack

Primary Tools:

• Programming Languages: Python, JavaScript (Node.js), potentially others like Java, Swift, C#.

• Cloud Platform: Amazon Web Services (AWS) – deep familiarity with services relevant to compute, storage, databases, and potentially AI/ML services.

• Front-end Technologies: HTML5, CSS3, modern JavaScript frameworks/libraries (though not explicitly stated, they are common for prototyping).

• API Integration Tools: RESTful APIs, GraphQL knowledge is beneficial.

• Version Control: Git.

Analytics & Reporting:

• Data Warehousing/Databases: ElasticSearch, Redshift, DynamoDB (preferred).

• Analytics Tools: Internal Amazon analytics platforms, potentially SQL for data querying.

• Dashboarding: Experience with creating dashboards and visualizations to report on workflow performance and impact.

CRM & Automation:

• Marketing Automation Platforms: Salesforce Marketing Cloud, Adobe Experience Manager (AEM) (preferred).

• Workflow Management Systems: Internal Amazon tools or common enterprise workflow engines.

• AI/ML Platforms: Amazon's internal AI tools, and familiarity with external AI/ML platforms.

📝 Enhancement Note: The technology stack is broad, reflecting the multidisciplinary nature of the role. Proficiency in AWS is non-negotiable for Amazon-based roles. The emphasis on both front-end development tools and back-end/cloud services, combined with AI/ML and marketing automation platforms, defines the comprehensive technical skill set required.

👥 Team Culture & Values

Operations Values:

• Customer Obsession: All work is driven by understanding and meeting customer (both internal marketing teams and end-users) needs.

• Ownership: Taking full responsibility for projects and their outcomes, from ideation to deployment and iteration.

• Invent and Simplify: Continuously seeking innovative solutions and striving for simplicity in complex systems.

• Bias for Action: Moving quickly to make decisions, prototype solutions, and deliver results, even with incomplete information.

• Deliver Results: A strong focus on achieving measurable outcomes and driving business impact.

• Dive Deep: Understanding problems and solutions at a granular level, ensuring thoroughness and accuracy.

Collaboration Style:

• Cross-functional Integration: High degree of collaboration with diverse teams (Engineering, Design, Product, Marketing).

• Data-Informed Discussions: Debates and decisions are backed by data and performance metrics.

• Constructive Feedback: An environment where feedback is given and received openly to drive continuous improvement.

• Agile & Iterative: Working in agile cycles, with continuous iteration based on feedback and performance data.

📝 Enhancement Note: Amazon's culture is deeply rooted in its Leadership Principles. Candidates who embody these principles and can demonstrate them through their work and interactions will thrive. The emphasis on data and results means that operational efficiency is not just a goal but a core tenet of how work is measured and valued.

⚡ Challenges & Growth Opportunities

Challenges:

• Complexity of AI Integration: Integrating cutting-edge Agentic AI into existing, large-scale marketing production workflows presents significant technical and operational hurdles.

• Scalability and Reliability: Ensuring AI-driven solutions are scalable, reliable, and performant across Amazon's vast global infrastructure.

• Balancing Innovation with Stability: Implementing new AI technologies while maintaining the stability and efficiency of current marketing operations.

• Rapid Technological Evolution: Staying abreast of the fast-paced advancements in AI and automation technologies and applying them effectively.

• Cross-functional Alignment: Achieving consensus and driving adoption across multiple teams with varying priorities and technical understandings.

Learning & Development Opportunities:

• Cutting-Edge AI Exposure: Direct engagement with advanced Agentic AI development and its application in real-world marketing scenarios.

• Skill Enhancement: Opportunities to deepen expertise in cloud computing (AWS), AI/ML, front-end engineering, and workflow automation technologies.

• Industry Conferences & Training: Access to Amazon's resources for professional development, including potential attendance at relevant tech conferences and specialized training programs.

• Mentorship Programs: Guidance from senior technologists and leaders within Amazon's extensive network.

• Impactful Projects: Working on high-visibility projects that directly influence Amazon's advertising business and customer engagement strategies.

📝 Enhancement Note: The challenges presented are typical for roles at the forefront of technological innovation within large enterprises. Amazon's investment in AI suggests that learning and development in this area are prioritized, offering significant opportunities for individuals looking to grow their careers in this domain.

💡 Interview Preparation

Strategy Questions:

• "Describe a complex workflow you designed or automated. What were the key challenges, and how did you measure its success?" (Focus on process, problem-solving, metrics)

• "How would you approach prototyping an Agentic AI workflow for [specific marketing task, e.g., personalized email generation]? What technologies would you consider and why?" (Focus on technical approach, AI concepts, tool selection)

Company & Culture Questions:

• "How have you embodied Amazon's Leadership Principles, such as Customer Obsession or Bias for Action, in your previous roles?" (Prepare STAR method examples)

• "How do you stay updated on the latest trends in AI and marketing technology, and how would you apply new learnings to this role?" (Demonstrate continuous learning and strategic application)

Portfolio Presentation Strategy:

• Start with the 'Why': Clearly articulate the business problem or user need your project addressed.

• Show, Don't Just Tell: Use live demos, interactive prototypes, or well-annotated screenshots. Walk through the user journey or workflow step-by-step.

• Explain Your Role & Decisions: Be specific about your contributions and the rationale behind your technical and design choices.

• Quantify Impact: Present clear metrics demonstrating the project's success (efficiency gains, user satisfaction, cost savings, etc.).

• Connect to Amazon: Conclude by explaining how the skills and experience demonstrated in your portfolio are directly applicable to the Design Technologist role at Amazon.

Challenge Preparation:

• Technical Deep Dive: Be ready to whiteboard code, discuss API design patterns, and explain how you'd leverage AWS services for scalability and performance.

• AI/ML Fundamentals: Understand concepts like supervised/unsupervised learning, prompt engineering, and the ethical considerations of AI.

• Workflow Design: Practice designing end-to-end workflows, identifying potential bottlenecks, and proposing optimization strategies.

📝 Enhancement Note: Preparation for Amazon interviews is critical. Candidates should thoroughly research Amazon's Leadership Principles and practice answering behavioral questions using the STAR method. The portfolio presentation is a key opportunity to showcase practical skills and problem-solving abilities.

📌 Application Steps

To apply for this operations position:

• Submit your application through the Amazon Jobs portal via the provided URL.

• Portfolio Customization: Ensure your online portfolio is up-to-date and prominently features projects showcasing your front-end development, UX prototyping, and any experience with AI, automation, or workflow optimization. Tailor the highlighted projects to align with the responsibilities mentioned in the job description.

• Resume Optimization: Craft a resume that clearly highlights your 6+ years of relevant experience, technical skills (Python, JavaScript, AWS, API integrations), and achievements using keywords from the job description. Quantify your accomplishments wherever possible.

• Interview Preparation: Practice answering behavioral questions based on Amazon's Leadership Principles using the STAR method. Prepare to walk through your portfolio projects in detail, focusing on process, technical execution, and impact. Rehearse responses to potential technical and design challenges.

• Company Research: Thoroughly research Amazon's Ads division, its marketing efforts, and its known culture. Understand the significance of "Agentic AI" and how it applies to marketing operations. Familiarize yourself with Amazon's Leadership Principles and be ready to discuss how your values align.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.