Zeely – AI Admaker Logo

Zeely – AI Admaker

AI Marketing Automation Engineer

Reposted 21 Days Ago
Remote
Hiring Remotely in USA
Mid level
Remote
Hiring Remotely in USA
Mid level
Build AI-powered workflows, agents, and integrations to automate marketing research, creative asset preparation, campaign analysis, reporting, and internal coordination. Prototype and productionize LLM-based tools, connect data sources and ad platforms, validate automation quality with real use cases, and document systems for reuse and scaling.
The summary above was generated by AI

Join us as an AI Marketing Automation Engineer and help us build user-facing AI workflows, agents, and product features that help marketing teams around the world research, create, analyze, and scale advertising campaigns faster.

Zeely is an AI marketing platform that helps small businesses, creators, and marketing teams create UGC videos, ad banners, product visuals, and launch effective campaigns on Meta and TikTok — without agencies, complex marketing tools, or deep performance marketing expertise.

We are expanding how AI supports the full marketing workflow: from creative research and content production to campaign launch, performance insights, recommendations, and scaling.

We already have 1.5M+ users in the US, are ranked among the Top-1 products in our category on the US market, and continue growing more than 4x year-over-year. Our team has grown to over 200 specialists.
About The Role:
We are looking for a hands-on AI automation builder who can turn complex marketing and creative workflows into scalable user-facing product features. You will build AI-powered workflows, agents, and integrations inside the Zeely platform that help small businesses, creators, and marketing teams around the world automate creative research, asset preparation, campaign analysis, recommendations, and other high-volume advertising workflows.
Your Key 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.


What We Are Looking For:

  • 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 where many creatives, campaigns, launches, and experiments run at scale.

  • Proven ability to turn manual marketing or creative workflows into scalable automation systems — for example: creative research, brief generation, asset preparation, campaign insights, reporting, recommendations, or workflow automation.

  • Strong understanding of how marketing and creative teams work: research → brief → creative concept → production → launch → performance analysis → 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: understand user needs, clarify requirements, identify bottlenecks, design an MVP, and bring it to a usable product workflow.

  • Strong product thinking: you care not only that automation works technically, but also that it is useful, clear, reliable, and easy for real users to adopt.

  • High ownership, structure, and maturity: you can work directly with Product, Marketing, Analytics, and Engineering teams, make trade-offs, document decisions, and move solutions forward independently.

  • Portfolio or case studies are important for us: AI automations, agents, user-facing workflows, product features, dashboards, creative production systems, marketing automation tools, or similar examples. Sanitized screenshots, Loom demos, Miro / Notion diagrams, or written case studies are fully okay.


Why It Is Exciting To Work With Us:

  • Work with fast-evolving AI technologies and build practical AI-powered tools for real marketing and creative workflows.

  • Join a strong, ambitious team where you can take ownership, move fast, and see the direct impact of your work.

  • Remote-first cooperation: work from anywhere, with the option to visit our hubs in Warsaw and Kyiv.

  • Regular feedback and performance discussions to keep expectations, growth, and collaboration transparent.

  • Financial support: consultations for private entrepreneurs from our dedicated finance team.


Recruitment Process: Intro call > Test Task > Final Interview > Reference Check > Offer.
Send us your CV — we’d love to get to know you better!

Similar Jobs

One Month Ago
Remote
United States
102K-163K Annually
Mid level
102K-163K Annually
Mid level
Edtech
The AI Automation Engineer develops AI-driven systems to automate sales and marketing workflows, partnering with various teams to enhance revenue generation and process efficiency.
Top Skills: Anthropic ApiApexAws BedrockHubspotJavaScriptLangchainMarketoOpenai ApiPythonSalesforceSalesforce Marketing CloudSnowflakeSQLTableau CrmTypescriptZapier
4 Minutes Ago
Remote or Hybrid
219K-335K Annually
Senior level
219K-335K Annually
Senior level
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Leads an engineering team developing autonomous vehicle evaluation platforms, metrics, workflows, dashboards, and analysis tools for simulation and on-road testing. Sets technical direction, guides statistical and machine learning evaluation methods, oversees performance analysis across perception, prediction, and planning, and supports release gating and risk assessment. Responsibilities include hiring, coaching, architectural decisions, cross-functional collaboration, code quality, observability, and translating system-level results into actionable engineering and leadership insights.
Top Skills: C++LlmsNumpyPandasPythonPyTorchRosScipySQLVlms
4 Minutes Ago
Remote or Hybrid
251K-385K Annually
Senior level
251K-385K Annually
Senior level
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Lead the safety strategy, validation methodology, and safety case for Level 3–4 autonomous driving systems. Define ODDs, behavior evaluation criteria, safety metrics, sufficiency criteria, and launch targets. Assess AV performance using simulation, closed-course, and public-road data, applying SOTIF, ISO 5083, and AVSC practices. Provide technical leadership across AI/ML, software validation, simulation, metrics, and vehicle program teams while influencing executives and cross-functional stakeholders.
Top Skills: Ai PlatformAmazon S3AvscAWSAzure Data LakeAzure Machine LearningBedrockBigQueryClusteringDatabricksDataflowDecision TreesDeep LearningDockerGenerative AiGitGoogle Cloud PlatformIso 21448Iso 5083JavaJIRAKubernetesLangchainLarge Language ModelsAzureMlflowNatural Language ProcessingNumpyPandasPower BIPysparkPythonPyTorchRRandom ForestReinforcement LearningRetrieval-Augmented GenerationSagemakerScikit-LearnSQLSvmTableauTensorFlowXgboost

What you need to know about the Chicago Tech Scene

With vibrant neighborhoods, great food and more affordable housing than either coast, Chicago might be the most liveable major tech hub. It is the birthplace of modern commodities and futures trading, a national hub for logistics and commerce, and home to the American Medical Association and the American Bar Association. This diverse blend of industry influences has helped Chicago emerge as a major player in verticals like fintech, biotechnology, legal tech, e-commerce and logistics technology. It’s also a major hiring center for tech companies on both coasts.

Key Facts About Chicago Tech

  • Number of Tech Workers: 245,800; 5.2% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: McDonald’s, John Deere, Boeing, Morningstar
  • Key Industries: Artificial intelligence, biotechnology, fintech, software, logistics technology
  • Funding Landscape: $2.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Pritzker Group Venture Capital, Arch Venture Partners, MATH Venture Partners, Jump Capital, Hyde Park Venture Partners
  • Research Centers and Universities: Northwestern University, University of Chicago, University of Illinois Urbana-Champaign, Illinois Institute of Technology, Argonne National Laboratory, Fermi National Accelerator Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account