GTM Engineer

Jobgether; Irlande; À distance; EUR 90 000 - 120 000; Plein temps

Avantages offerts par ce poste

Fully remote in Europe

Ownership of growth infra

Exposure to AI/ML tech

Résumé du poste

Jobgether is seeking a GTM Engineer based in Ireland to design, build, and optimize an AI-powered outbound growth engine for a cybersecurity/web infrastructure environment. You will combine data science, software engineering, automation, and commercial strategy to identify high-potential customers and deliver actionable insights.

The role spans research, prototyping, and production-ready workflows, leveraging LLMs, AI agents, and CRM tech to power scalable, international outbound programs in a

Qualifications

• Production-ready AI solutions experience including LLM workflows and AI agents.
• Data science experience: predictive modeling, propensity-to-buy, feature engineering.
• Strong Python and SQL skills to analyze datasets.
• Deep knowledge of HubSpot workflows, properties, and reporting.
• Experience with Clay or similar data enrichment and automation platforms.
• Experience designing scalable automation in B2B go-to-market.
• Strong analytical and problem-solving skills.
• Proactive mindset and ownership.
• Excellent documentation skills.
• Fluent written and spoken English.

Responsabilités

• Design ICPs and segmentation using CRM and engagement data.
• Apply predictive modeling to identify high-potential accounts.
• Use Python and SQL to build scoring models and insights.
• Build AI-powered research and data enrichment workflows.
• Develop intelligent prospecting systems and identify decision-makers.
• Design AI-assisted personalization workflows for outbound messaging.
• Build multichannel outreach sequences across email, LinkedIn, events.
• Own HubSpot automation, workflows, and data pipelines.
• Ensure CRM data accuracy across connected platforms.
• Develop dashboards to monitor outbound performance.
• Run experiments and translate results into improvements.
• Document workflows to create scalable, repeatable processes.

Connaissances

AI solutions

LLM workflows

AI agents

Prompt engineering

Evaluation frameworks

Guardrails

Data science

Python

SQL

HubSpot

Clay

Automation systems

Go-to-market

Documentation

English fluency

Outils

HubSpot

Clay

CRM platforms

Description du poste

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 Ireland.

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

• 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.

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!