AI Marketing Automation Engineer

Applicantz is a company that offers contract roles in the tech industry, and they are seeking an AI Marketing Automation Engineer. This role focuses on building and extending an internal AI tool to automate marketing tasks, requiring collaboration with marketing teams and ensuring the tool's functionality and documentation are clear and effective.

Responsibilities:

• Design and document processes and procedures to ensure the tool operates within defined requirements
• Implement automation, test plans, and validation strategies for the tool
• Develop and maintain automation that reduces repetitive, manual marketing processes such as CTAs, phone numbers, and buy flows
• Identify and investigate issues found during testing and use, and resolve them
• Onboard new marketing use cases and add functionality, prioritized with the product owner
• Work closely with the product owner, marketing stakeholders, and supporting engineers to align on requirements and resolve issues
• Deploy and host the tool so it is available for broader use
• Keep clear documentation so the tool can be supported or handed off later

Requirements:

• 3 to 5 years of relevant experience building and shipping software, automation, or AI-driven tools
• Experience designing and implementing automation and validation strategies
• Experience developing and maintaining automated scripts or workflows to reduce repetitive manual work
• Hands-on experience building with AI tooling, such as LLM-based applications, AI coding assistants, or AI automation platforms
• Experience evaluating build versus buy decisions for AI tools and determining the right architecture for this type of tool
• Clear written and verbal communication, including explaining technical work to non-technical audiences
• Experience applying AI or automation to marketing teams or marketing operations
• Experience building and maintaining internal tools end to end
• Experience working across marketing, product, and engineering teams
• Experience identifying and investigating issues and improving process quality