AI Marketing Automation Engineer
New
Z
Zeely Inc.AI Marketing Platform
Remote-first cooperation: work from anywhere, with the option to visit our hubs in Warsaw and Kyiv.Full-TimeMiddle
Salary not disclosed
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Job Details
- Experience
- 3+ years
- Required Skills
- PythonJavascriptProduct ManagementQA AutomationRESTful APIs
Requirements
- 3+ years of hands-on experience in AI Automation, TechOps, Marketing Automation, Growth Operations, Creative Operations, Product Automation, or similar roles with a strong technical automation focus.
- Experience working with creative factories, performance marketing teams, media buying, adtech products, agencies, mobile apps, SaaS products, or content production teams.
- Proven ability to turn manual marketing or creative workflows into scalable automation systems.
- Strong understanding of the marketing and creative lifecycle: research, brief, creative concept, production, launch, performance analysis, and iteration.
- Strong technical foundation: APIs, webhooks, databases, data pipelines, automation platforms, AI / LLM tools, and Python or JavaScript.
- Ability to work with messy, undefined product problems, clarify requirements, identify bottlenecks, and design MVPs.
- Strong product thinking to ensure automation is useful, clear, reliable, and easy for real users to adopt.
- High ownership, structure, and maturity to work independently with cross-functional teams.
- Portfolio or case studies demonstrating AI automations, agents, or user-facing workflows.
Responsibilities
- Analyze how Zeely users research, create, launch, and optimize advertising campaigns to identify repetitive tasks, bottlenecks, and opportunities for AI automation.
- Design user-facing AI workflows for creative research, asset preparation, campaign analysis, reporting, recommendations, and campaign optimization.
- Build prototypes and MVPs using LLMs, APIs, automation platforms, scripts, databases, and product integrations.
- Work with ad creatives, UGC videos, hooks, scripts, briefs, campaign data, performance insights, and public competitor research sources.
- Connect AI models, marketing data, content sources, external services, APIs, and product data into scalable workflows inside the Zeely platform.
- Validate automation quality through real user scenarios: accuracy, reliability, usefulness, edge cases, clarity, and measurable value for marketing teams.
- Improve workflows based on user feedback, product analytics, failed runs, data quality issues, and changing marketing needs.
- Document system logic, prompts, integrations, data flows, experiments, and decisions so solutions can be reused, improved, and scaled across the product.
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