GTM Engineer

Jobgether; Switzerland; Remote; CHF 120,000 - 180,000; Full time

Benefits offered by this job

Fully remote Europe

Ownership & autonomy

Advanced technologies

International growth

Series C backing

Job summary

Jobgether, acting on behalf of a Swiss-based partner, seeks a GTM Engineer to design and optimize an AI-powered outbound growth engine for cybersecurity and web infrastructure.

You will build ICPs, scoring models, and multichannel outreach using Python, SQL, HubSpot, and LLMs, while aligning engineering, data, sales, and marketing to drive international growth. This fully remote role offers ownership over growth infrastructure and the chance to work with advanced AI technologies.

Qualifications

• Production-ready AI solutions, including LLM workflows, AI agents, prompt engineering, evaluation frameworks, and guardrails.
• Hands-on data science, including predictive modeling, propensity-to-buy scoring, feature engineering, and model validation.
• Strong Python and SQL skills to manipulate complex datasets.
• In-depth HubSpot knowledge: workflows, CRM properties, sequences, reporting, integrations, and data architecture.

Responsibilities

• Develop and improve systems, workflows, and automation for intelligent prospecting and outbound growth.
• Create ICPs and segmentation frameworks using CRM, firmographics, and engagement data.
• Build AI-powered enrichment workflows with LLMs, AI agents, and automation platforms.
• Design multichannel outreach sequences across email, LinkedIn, and event invites, and optimize engagement.

Skills

Python

SQL

HubSpot

AI/ML

Data science

LLMs

CRM

Propensity-to-buy scoring

Tools

Clay

HubSpot

Jira

Job description

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.
• Practical experience using Clay or comparable data enrichment and automation platforms.
• Experience designing and implementing scalable automation systems, preferably within a B2B go-to-market environment.
• Strong analytical and problem-solving skills, with the ability to translate technical findings into actionable business recommendations.
• A proactive, experimental mindset and strong sense of ownership, with the ability to build innovative solutions rather than simply operate existing tools.
• Excellent documentation skills, with the ability to make technical processes clear, structured, and reusable.
• Fluent written and spoken English.

Additional qualifications that would be advantageous

• Experience working in B2B SaaS, cybersecurity, or technology-focused organizations.
• Familiarity with multichannel outbound strategies and sales engagement platforms.
• Spanish language proficiency.

Previous experience in web hosting is not required. Candidates from different industries are welcome, particularly those who can bring fresh perspectives and innovative approaches to building automated growth systems.

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 infrastructure.
• Direct impact on customer acquisition, commercial strategy, and international business expansion.
• Opportunity to work with advanced technologies, including AI agents, LLMs, predictive analytics, and automation platforms.
• Chance to join an ambitious, fast-growing technology organization following a successful $100 million Series C funding round.
• International and remote-first working environment that encourages initiative, experimentation, and practical problem-solving.
• Inclusive and diverse workplace that welcomes professionals from different backgrounds and industries.