Marketing Automation Engineer

Los Angeles, CA (Remote)

Salary Not AvailableMid LevelFull time

Posted 4 months ago

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Job Summary

Drive automated data workflows and custom integrations across a fragmented marketing stack using modern AI-assisted tooling.

  • Architect bespoke integrations across Ads, Web, Social, and data sources using n8n and BigQuery.
  • Must-have: Deep n8n automation expertise and BigQuery/Segment data engineering experience.
  • Standout: AI-native development with Cursor/Claude to accelerate delivery.

Job Description

Responsibilities

  • 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

Requirements

  • 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.
  • 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.

Benefits

  • 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
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UpGuard

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UpGuard is a comprehensive cyber risk solution that combines third-party security ratings, vendor questionnaires, and threat intelligence capabilities to help businesses manage and improve their security posture.

Founded in 2012
Mountain View, California, USA
317 employees (38 in marketing)
95% recommend to a friend
98% CEO approval

Traffic Signals

Monthly Visitors
279.9K
Monthly Google Ads Budget
$165.3K
Traffic Source Mix
Search
55.5%
Direct
34.9%
Referral
6.8%
Social
1.8%
Paid
0.9%

Headcount Trend

Current headcount: ~318

Marketing Team

Marketing Team Size
26 (8% of company)
Median Career Experience
12.5 years
Median Tenure
2.7 years
Marketing Roles Posted (Last 30 Days)
1

Funding

Total Funding
$122.4M
Last Raise
$75M
Series C, 18 days ago

Funding History

  • Feb 2026
    Series C • $75M
  • Jun 2021
    Series B • $19M
  • Jan 2020
    Series Unknown

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