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.
What will you do?
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
What will you bring?
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.
What will give you an edge?
AI Tool Mastery: Daily mastery of AI coding assistants like Cursor and Claude to accelerate delivery
Stack Agnostic Approach: You aren't married to one tool; you possess the ability to plug into any API to get the job done
Engineering Background: Experience as a data engineer with strong exposure to growth/marketing data sources. Alternatively a marketing operations professional with demonstrably strong AI automation ability
B2B SaaS Experience: Familiarity with the unique data challenges and velocity of a high-growth B2B SaaS environment.
What’s in it for you?
Monthly Lifestyle subsidy: Use this for financial, physical, and mental well-being
WFH set-up allowance: To ensure you have the right environment to work in, we will help you get set up within your first 3 months at UpGuard
$1500 USD annual Learning & Development allowance: To support your career development, all team members will be able to expense development opportunities against this allowance
Annual leave: PTO plus two additional UpGuardian leave days to give you time to recharge your batteries.
18 weeks paid Parental Leave: Irrespective of parenting role
Personal Leave Allowance: This includes sick & carer’s leave
Fully remote working environment: While we have physical offices in Sydney & Hobart, we do not mandate compulsory attendance
Top-spec hardware: All team members will be provided with top-spec laptops for their role
Generative AI subsidy: UpGuard provides paid subscriptions for all team members to access generative AI tools to support their work
