Marketing AI Engineer, Agentic Automation

Aptean is a global provider of mission-critical, industry-specific software solutions. They are seeking a Marketing AI Engineer to design, build, and scale AI systems that enhance content creation and campaign execution within the marketing organization.

Responsibilities:

• Build the automated content pipeline that takes an audience segment, ICP profile, or campaign brief and produces targeted ads, landing pages, email sequences, UGC briefs, and sales enablement assets, localized and nuanced by region, industry, or persona, ready for human review and one-click activation
• Develop dynamic content generation systems that pull from structured data sources (product, customer, competitive, firmographic) to produce first-draft marketing materials that are personalized, on-message, and on-brand at scale
• Design and implement agentic workflows that automate multi-step content and campaign tasks: intake to brief, brief to asset, asset to review queue, and review to publish
• Implement MCP servers and agent orchestration systems; write clean, maintainable Python and JavaScript to productionize AI integrations
• Integrate AI systems with marketing automation platforms, CMS, DAM, CRM, and external data sources through APIs and data pipelines to enable content that is informed by live customer and market data
• Evaluate and select AI frameworks, tools, and platforms for specific marketing use cases. Run proofs-of-concept and recommend solutions with clear rationale tied to marketing outcomes
• Stay current with AI trends, emerging agent frameworks, and content generation tools. Bring what is new and directly applicable to the team with context on how to use it
• Create documentation, prompt libraries, and reusable templates that make AI-powered content workflows repeatable across the marketing org
• Be the forcing function for adoption: if a solution works, you ensure the team knows it and is using it
• Build evaluation frameworks that track time saved, content output volume, quality scores, and campaign performance. Define success metrics before building, not after
• Deliver impact reporting that ties AI initiatives to marketing outcomes: time savings, asset throughput, campaign conversion, and pipeline contribution
• Partner with Marketing, Product Marketing, and Marketing Ops to understand workflows, diagnose bottlenecks, and translate content needs into technical designs