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GTM Engineer

WGSNLondon, UKDigital
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Salary
Not listed
Job type
Permanent
Posted
14 Sept 2026
Status
Open · checked 7d ago

About this role

WGSN is hiring a permanent GTM Engineer to work in a hybrid capacity out of the London, UK office. This technical position suits an experienced builder who wants to connect marketing technology, revenue operations, and software engineering.

Role Overview

As a GTM Engineer at WGSN, the selected professional will architect, automate, and maintain the engines driving the revenue ecosystem. Operating within the Revenue Systems team, the role focuses heavily on marketing technology, lead management architecture, and AI-driven enrichment pipelines across a comprehensive tech stack that includes Salesforce, Marketo, BigQuery, and modern LLM tools.

Key Responsibilities

Architect, optimise, and maintain complex Marketo programs, custom objects, multi-touch attribution models, and dynamic templates using Velocity scripting.
Design and refine lead scoring, lifecycle stage transitions, and routing logic connecting Marketo and Salesforce.
Build and manage SQL-based data pipelines in BigQuery, Snowflake, or dbt to link MarTech, GA4, SEO data, and paid media platforms to the central data warehouse.
Implement robust API integrations, webhooks, and middleware to synchronize real-time data across revenue tools like Gong, Lusha, ZoomInfo, and Salesforce.
Develop custom Python and Node.js scripts connecting lead capture channels to LLM APIs for automated lead categorization, enrichment, and real-time scoring.
Extract intent signals and sentiment data from conversational tools via APIs to feed insights back into revenue systems.
Write clean Python and JavaScript code to automate operational workflows and bridge integration gaps.

Requirements

Bring at least 3 years of professional experience working in MarTech, RevOps, or GTM Engineering.
Demonstrate expert-level knowledge of Marketo architecture, including lead lifecycles, webhooks, tokens, and Velocity scripting.
Possess strong programming and scripting competencies in Python, JavaScript, SQL, HTML/CSS, JSON, REST/SOAP APIs, and webhooks.
Show hands-on experience handling data engineering and analytics tasks with BigQuery, Snowflake, or dbt.
Proven capability in interfacing with LLM APIs utilizing Python or JavaScript for real-time personalization and workflow automation.
Familiarity with Salesforce, revenue intelligence tools, and middleware platforms.
Proficiency with Git workflows, AI coding assistants, and project management tools like JIRA.
Excellent stakeholder management skills to translate commercial goals into technical architectures for varied audiences.

Nice to Have

Adobe Marketo Engage Certified Expert (MCE) or higher certification.

Skills and Tools

Python
SQL
Node.js
JavaScript
LLM
Snowflake
dbt
Marketo
Salesforce
BigQuery

About the Company

WGSN operates the Digital Marketing function as part of its Revenue Systems pillar, combining strategy and technology to drive customer lifecycle growth from brand awareness through to sales and retention.

How to Apply

Interested candidates should visit the official WGSN careers page to submit an application for this London-based position.

Skills and tech stack

PythonSQLNode.jsJavaScriptLLMSnowflakedbt

Questions candidates ask

Where is this job located?

This position is based in London, UK, on a hybrid work model.

What employment type is this role?

This is a permanent employment opportunity.

How many years of experience are required?

Applicants must have 3 or more years of experience in MarTech, RevOps, or GTM Engineering.

What programming languages and technologies are needed?

The role requires proficiency in Python, JavaScript, SQL, Node.js, LLMs, Snowflake, dbt, Marketo, and Salesforce.

Is certification required for Marketo?

Certification is not strictly required, but holding the Adobe Marketo Engage Certified Expert (MCE) or above is highly desirable.

Ready to apply?

The application is on the official WGSN careers page.

Apply on company site