GTM Engineer

📋 Description

• Design and maintain dynamic Ideal Customer Profiles (ICPs), account segmentation frameworks, and
• Apply data science techniques, including predictive modeling and statistical analysis, to identify
• Use Python and SQL to analyze complex datasets, develop scoring models, and make relevant insights
• Build AI-powered research and data enrichment workflows using large language models (LLMs), AI
• Develop intelligent prospecting systems that research companies, enrich account information, and
• Design AI-assisted personalization workflows that adapt outbound messaging to customer segments

🎯 Requirements

• Proven experience building and deploying production-ready AI solutions, including LLM workflows, AI
• Hands-on data science experience, particularly in predictive modeling, propensity-to-buy scoring
• Strong proficiency in Python and SQL, with the ability to independently analyze and manipulate
• In-depth knowledge of HubSpot, including workflows, CRM properties, sequences, reporting
• Practical experience using Clay or comparable data enrichment and automation platforms.
• Experience designing and implementing scalable automation systems, preferably within a B2B

🎁 Benefits

• Fully remote working arrangement within Europe.
• Opportunity to build an AI-powered go-to-market engine from the ground up.
• Significant ownership and autonomy over the design and development of critical growth
• Direct impact on customer acquisition, commercial strategy, and international business expansion.
• Opportunity to work with advanced technologies, including AI agents, LLMs, predictive analytics
• Chance to join an ambitious, fast-growing technology organization following a successful $100