Marketing Automation Engineer, UpGuard

• Advanced Automation Skills: Deep proficiency in n8n (Node-based logic, HTTP requests, custom JS nodes) to handle complex orchestration
• Data Engineering Expertise: Strong technical command of BigQuery (SQL/DDL) and Segment (Protocols, Engage, Identity Resolution, Source/Destinations)
• CRM Mastery: Extensive experience with HubSpot, specifically regarding Custom Objects and API-driven workflows
• Action-Oriented Mindset: You value shipping functional automation over theoretical architecture and have a proven bias for action, learning from feedback and iterating improvements

Desirable

• The Marketing team at UpGuard includes multiple marketing and design functions, including Product Marketing, Demand Gen, Marketing Ops, Content Marketing, SEO, Community, Design, and Video
• UpGuard’s vision is to become a leader in the markets we play in (Cyber VRM, Attack Surface Management) by providing a best-in-class SaaS platform for organisations to manage their third-party risk and external attack surface
• Our purpose as a Marketing team is to facilitate this goal by growing UpGuard with a repeatable and scalable marketing engine and a leading brand
• This role sits at the intersection of marketing strategy and technical engineering
• As the Marketing Automation Engineer, you will serve as the technical architect of our marketing engine
• Your mission is to move beyond standard "out-of-the-box" integrations to build a custom, high-velocity data fabric that connects our broad marketing stack into a cohesive revenue machine
• You will deconstruct complexity and own the connectivity of our systems, turning raw signals into actionable revenue triggers
• Architect Custom Integrations: Build bespoke workflows between a fragmented stack (Ads, Web, Social, Intent data) using n8n and BigQuery, bypassing the limitations of native connectors to create seamless data flow
• Orchestrate Data Pipelines: Improve the Segment / BigQuery / HubSpot pipeline. You will ensure high-fidelity event tracking and transform raw data signals into actionable marketing triggers
• Drive Rapid Prototyping: Transition from abstract marketing ideas to functional automated workflows in hours, not days. You will build, test, and iterate with a relentless bias for action
• Leverage AI-Native Development: Utilize tools like Cursor and Claude as your primary leverage to write custom scripts, handle API edge cases, and automate complex data cleaning tasks efficiently
• Optimize the Stack: Continuously identify bottlenecks in the GTM process and engineer technical solutions to either remove or optimise them