GTM Engineer

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a GTM Engineer based in Switzerland. As a GTM Engineer, you will design, build, and optimize an intelligent, AI-powered outbound growth engine within a fast-growing cybersecurity and web infrastructure environment. Combining data science, software engineering, automation, and commercial strategy, you will develop scalable systems that identify high-potential customers and generate actionable buying insights. You will leverage AI agents, large language models, predictive analytics, and CRM technologies to improve prospect research, enrichment, and personalized engagement. Working at the intersection of engineering, data, sales, and marketing, you will take ownership of the infrastructure powering global outbound activities. You will continuously experiment with new technologies, measure performance, and transform successful approaches into repeatable processes. This is an opportunity to make a direct impact on international growth while building innovative solutions in a fully remote environment. Accountabilities You will take ownership of developing and continuously improving the systems, workflows, and automation infrastructure that drive intelligent prospecting and outbound growth. - Design and maintain dynamic Ideal Customer Profiles (ICPs), account segmentation frameworks, and propensity-to-buy models using CRM, firmographic, and engagement data. - Apply data science techniques, including predictive modeling and statistical analysis, to identify high-potential accounts, detect buying signals, and generate actionable commercial insights. - Use Python and SQL to analyze complex datasets, develop scoring models, and make relevant insights accessible through HubSpot. - Build AI-powered research and data enrichment workflows using large language models (LLMs), AI agents, Clay, and other automation platforms.

- Develop intelligent prospecting systems that research companies, enrich account information, and identify relevant decision-makers at scale. - Design AI-assisted personalization workflows that adapt outbound messaging to customer segments, stakeholder roles, and specific buying triggers. - Build and optimize multichannel outreach sequences across email, LinkedIn, and event invitations, continuously testing and improving engagement strategies. - Own and maintain HubSpot automation and CRM infrastructure, including workflows, properties, integrations, data enrichment pipelines, and reporting systems. - Ensure CRM data accuracy, consistency, and reliability across all connected platforms and processes. - Develop performance dashboards and feedback loops using HubSpot and Jira to monitor outbound effectiveness, operational efficiency, lead quality, and process execution. - Run experiments, evaluate results, and translate performance insights into continuous improvements. - Document technical workflows, experiments, and successful approaches to create scalable, repeatable processes that can be maintained and enhanced by other team members. Requirements : The ideal candidate combines strong technical engineering capabilities with data science expertise, practical AI implementation experience, and a clear understanding of commercial growth strategies. - Proven experience building and deploying production-ready AI solutions, including LLM workflows, AI agents, prompt engineering, evaluation frameworks, and guardrails. - Hands-on data science experience, particularly in predictive modeling, propensity-to-buy scoring, feature engineering, and model validation. - Strong proficiency in Python and SQL, with the ability to independently analyze and manipulate complex datasets. - In-depth knowledge of HubSpot, including workflows, CRM properties, sequences, reporting, integrations, and data architecture.