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.

How Jobgether works

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!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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