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Marketing Automation Engineer

Remote / Online - Candidates ideally in
San Jose, Santa Clara County, California, 95199, USA
Listing for: UpGuard
Remote/Work from Home position
Listed on 2026-03-13
Job specializations:
  • IT/Tech
Salary/Wage Range or Industry Benchmark: 100000 - 140000 USD Yearly USD 100000.00 140000.00 YEAR
Job Description & How to Apply Below

Who are we?

At UpGuard, we are replacing manual security bottlenecks with AI-driven precision. Fresh off a US $75M Series C, we are scaling our infrastructure to process 100 billion risk signals daily. This isn’t just growth; it’s a total reimagining of how the world manages cyber risk.

We build the Cyber Risk Posture Management (CRPM) platform that security teams actually love. By integrating security ratings, threat intel, and agentic AI, we empower organisations to stay ahead of an ever evolving attack surface.

We aren’t just building another tool; we’re defining a category. We provide the autonomy to ship world‑class technology and the resources to do it at a global scale.

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.

Why

are we hiring for this role?

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 Big Query, bypassing the limitations of native connectors to create seamless data flow
  • Orchestrate Data Pipelines:
    Improve the Segment / Big Query / Hub Spot 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 Big Query (SQL/DDL) and Segment (Protocols, Engage, Identity Resolution, Source/Destinations)
  • CRM Mastery:
    Extensive experience with Hub Spot, 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 Up Guard
  • $1500 USD annual Learning &…
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