GTM Engineer

Nicholson Search and Selection; Monza; Ibrido; EUR 40.000 - 50.000; Tempo pieno

Descrizione del lavoro

Nicholson Search and Selection supports a venture-backed AI startup in Milan, hiring a GTM Engineer for a hybrid role. You will build workflows, automations, and tooling to empower Sales, Marketing and Customer Success teams to operate more efficiently.

The role focuses on solving commercial challenges with technical solutions and making a direct impact on growth. 2–4 years in GTM/Revenue Operations plus experience with CRM platforms are preferred.

Competenze

• 2-4 years of experience in GTM Engineering or Revenue Operations.
• Strong understanding of modern B2B SaaS go-to-market processes.
• Hands-on with CRM platforms like HubSpot/Salesforce.
• Experience with automation platforms (Zapier, Make, n8n).
• Knowledge of APIs, data workflows, and system integrations.

Mansioni

• Design and maintain go-to-market workflows across the customer lifecycle.
• Build automations using HubSpot, Salesforce, Clay, Make, Zapier, n8n, and AI-powered solutions.
• Develop lead sourcing, enrichment, qualification, and routing processes.
• Improve CRM structure, reporting capabilities, and data quality.
• Build integrations between systems using APIs and no-code/low-code tools.
• Partner with Sales, Marketing, and Customer Success teams to identify inefficiencies and automate manual processes.
• Create dashboards and reporting frameworks that support commercial decision-making.
• Leverage AI tools to improve productivity across GTM functions.
• Support scaling of internal processes as the business expands.

Descrizione del lavoro

About the Company

Our client is a venture-backed AI startup/scale-up developing technology that helps businesses automate processes, improve decision-making, and unlock operational efficiency through artificial intelligence.

As the company continues to grow, they are looking for a GTM Engineer to build the systems, automations, and infrastructure that support a scalable and data-driven go-to-market function.

Location: Milan (Hybrid)

Type: Full-time

Compensation: €40,000-€50,000 base salary + performance bonus/equity (where applicable)

The Role

The GTM Engineer will sit at the intersection of Revenue, Product, Operations, and Engineering.

This is a hands-on position focused on building the workflows, automations, and tooling that enable Sales, Marketing, and Customer Success teams to operate more efficiently. The role is ideal for someone who enjoys solving commercial challenges with technical solutions and wants to have a direct impact on growth.

Key Responsibilities

• Design and maintain go-to-market workflows across the customer lifecycle.
• Build automations using tools such as HubSpot, Salesforce, Clay, Make, Zapier, n8n, and AI-powered solutions.
• Develop lead sourcing, enrichment, qualification, and routing processes.
• Improve CRM structure, reporting capabilities, and data quality.
• Build integrations between systems using APIs and no-code/low-code tools.
• Partner with Sales, Marketing, and Customer Success teams to identify inefficiencies and automate manual processes.
• Create dashboards and reporting frameworks that support commercial decision-making.
• Leverage AI tools and workflows to improve productivity across GTM functions.
• Support the scaling of internal processes as the business expands.

Requirements

• 2-4 years of experience in GTM Engineering, Revenue Operations, Growth Operations, Sales Operations, or a similar role.
• Strong understanding of modern B2B SaaS or technology go-to-market processes.
• Experience working with CRM platforms such as HubSpot or Salesforce.
• Hands-on experience with automation platforms including Zapier, Make, or n8n.
• Familiarity with APIs, data workflows, and system integrations.
• Basic knowledge of Python, JavaScript, SQL, or similar technologies is a plus.
• Strong analytical and problem-solving skills.
• Fluent English.

Preferred Background

• Experience within SaaS, AI, or high-growth technology companies.
• Exposure to tools such as Clay, Apollo, Outreach, Salesloft, Hightouch, or Census.
• Experience implementing AI agents, LLM-based workflows, or commercial automation projects.
• Understanding of revenue operations, growth systems, and commercial analytics.