Job Description

Job Description
The position focuses on the search, testing and implementation of new AI and automation instruments for marketing. The position involves creating internal product prototypes and MVPs that can scale with the engineering team, as well as improving marketing technologies and the efficiency of team workflows.
Responsibilities:
Search, test and implement new AI and automation instruments for marketing.
Create MVP integrations and scalable internal product prototypes.
Continuously improve the marketing technology stack and the speed of workflows.
Analyze manual and repetitive processes in marketing and creativity, transforming them into automated solutions.
Build alert and notification systems about changes in campaigns, metrics or budgets.
Automatically generate regular reports and insights based on marketing and product data.
Design and build automated workflows for managing advertising campaigns, data and operational marketing tasks.
Create internal tools and scripts that reduce the number of manual actions (massive campaign operations, verifications, synchronizations, status updates, notifications, etc.).
Integrate advertising platforms, spreadsheets, databases and communication services into unified flows.
Build massive marketing creative creation and processing systems using AI services.
Automate the generation of texts, titles, creative variations, templates and metadata.
Requirements:
Experience with automation platforms (e.g. n8n, Make, Zapier or similar).
Understanding flow logic: triggers, conditions, loops, delays and error handling.
Ability to connect different marketing and operational instruments.
Basic knowledge of JavaScript or another scripting language for automations.
Understanding data structures and transforming data into workflows.
Experience with API integrations (REST, webhooks, authentication, JSON, request parameters).
Ability to obtain, transform and transfer data between services using APIs.
Experience in building regular automatic processes (data collection, updating, action execution).
Experience using AI instruments or AI APIs in work processes.
Understanding how to integrate AI into marketing or operational flows (generation, analysis, classification, reporting).
Ability to rapidly prototype AI automations and MVP solutions.
Experience working with spreadsheets, data sources and dashboards (Airtable, Google Sheets, BI tools or equivalent).
Basic knowledge of analytics and monitoring of marketing events and conversions.

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