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About the Role
We are seeking a highly technical GTM Engineer to bridge the gap between marketing technology, revenue operations, and software engineering. This role involves architecting, automating, and maintaining the engine that powers our revenue ecosystem, with a primary focus on our Marketing Technology (MarTech) ecosystem, including advanced marketing automation, lead management architecture, and AI-driven enrichment pipelines.
Responsibilities
- Architect, optimize, and maintain complex Marketo programs, dynamic templates, custom objects, and multi-touch attribution models.
- Build and refine end-to-end lead scoring, lifecycle stage transitions, and routing logic between Marketo and Salesforce.
- Build and manage SQL-based data pipelines and automated extracts connecting MarTech platforms to the central data warehouse.
- Design, implement, and monitor robust API integrations, webhooks, and middleware to sync real-time data across various revenue systems.
- Develop custom Python/Node.js scripts to auto-categorize, enrich, and score leads in real time using LLM APIs.
- Extract actionable intent signals, sentiment, and competitor mentions from conversational tools and feed enriched data back into revenue systems.
- Experiment with and pilot multi-agent orchestration systems and LLM-powered workflows.
- Write clean, maintainable Python and JavaScript code to automate manual operational workflows.
- Troubleshoot API failures, debug automation flows, and support platforms across the global revenue ecosystem.
Requirements
- 3+ years in MarTech, RevOps, or GTM Engineering.
- Proactive builder mindset focused on writing code and building automated pipelines.
- Expert-level Marketo knowledge (programs, lead lifecycles, webhooks, Velocity scripting, tokens).
- Strong coding skills in Python, JavaScript, SQL, HTML/CSS, JSON, REST/SOAP APIs, and webhooks.
- Hands-on experience with BigQuery, Snowflake, or dbt.
- Proven ability to interface with LLM APIs using Python/JS.
- Familiarity with Salesforce, revenue tools, and middleware platforms.
- Proficient with Git workflows, AI coding assistants, and project management tools.
- Demonstrated ability to partner closely with various teams and communicate solutions effectively to stakeholders.
Skills
- Marketo Architecture
- Velocity scripting
- Lead Lifecycle & Routing
- Data Pipelines & Tracking Infrastructure
- SQL
- BigQuery
- Snowflake
- dbt
- System Integration & Webhooks
- API integrations
- Applied AI & Automation Engineering
- Python
- Node.js
- LLM APIs
- Claude
- Gemini
- Systems Engineering & Custom Development
- JavaScript
- Git workflows
- GitHub
- BitBucket
- AI coding assistants
- JIRA
Location
- Hybrid
Work Type
- Hybrid
- Full-time
Experience Level
- 3+ years
Education Level
- Adobe Marketo Engage Certified Expert (MCE) or above is highly desirable
Benefits
- 25 days of holiday per year
- Option to buy/sell up to 5 days holiday
- Pension
- Life Assurance
- Income Protection
- Flexible benefits platform
- Private Medical Insurance
- Dental Insurance
- Critical Illness Insurance
- Employee assistance programme
- Season ticket loans
- Cycle to work scheme
- Volunteering opportunities
- Charitable giving options
- Learning and development opportunities
About the Company
- WGSN is the global authority on consumer trend forecasting.
- We help brands around the world create the right products at the right time for tomorrow’s consumer.
- Our values: We Are Everywhere, We Are Future Focused, We Are Rigorous.
- An inclusive culture is one of our key priorities.
- We are committed to supporting the environment and sustainability, including ensuring our pension plan defaults to sustainable options and striving to be net zero by 2030.
- Recognising great performance is a key part of our culture.
- We offer a flexible working environment with a wide range of flexible, hybrid and agile working arrangements.
- We want to ensure everyone has the opportunity to perform their best when interviewing, so if you require any reasonable adjustments that would make you more comfortable during the process, please let us know.
Equal Opportunity
- We use AI to help our team screen applications and identify candidates whose skills and experience match the role. This technology removes personal information to promote a fair and unbiased process.
- We believe this tool helps us find the best talent while maintaining transparency and fairness.