The Challenge
UpGuard just raised $75M Series C and is processing 100B risk signals daily-but their marketing stack is fragmented. You'll architect the custom data fabric that turns raw signals into revenue triggers, building the connective tissue between ads, web, social, and intent data.
Your Mission
Map and audit existing Segment/BigQuery/HubSpot pipeline; identify 3-5 critical data bottlenecks blocking campaign velocity
Build 2-3 n8n workflows connecting disparate sources (ads platforms, web tracking, intent data) with high-fidelity event capture
Establish baseline metrics on pipeline latency, data accuracy, and trigger response time to inform optimization roadmap
Ship first AI-assisted custom scripts (Cursor/Claude) to automate data cleaning and API edge case handling
Deploy a fully custom data fabric architecture that reduces marketing campaign setup time from days to hours
Achieve 95%+ data accuracy across Segment identity resolution and HubSpot Custom Objects syncing
Scale BigQuery event processing to handle 100B+ signals with sub-second query latency for real-time marketing triggers
Document and operationalize the automation stack so demand gen and product marketing teams can ship self-serve workflows without engineering
KPIs You'll Own
Pipeline Latency
Time from user action to actionable trigger in HubSpot; target <5 minutes for campaign relevance.
Data Integrity Score
Percentage of events matching across Segment, BigQuery, and HubSpot without duplication or loss.
Automation ROI
Revenue influenced by AI-driven workflows divided by platform/tool costs; track quarter-over-quarter lift.
Time-to-Workflow
Hours to build, test, and deploy a new marketing automation from concept; benchmark and reduce monthly.
Stack Utilization
Percentage of marketing team using custom workflows vs. manual processes; track adoption and time saved.
Tools & Stack
Your Team
Your Manager
Head of Marketing or VP Marketing Operations (not specified)
Current Team
Part of broader marketing team including Product Marketing, Demand Gen, Content, SEO, Design, Video
New role to build out marketing automation infrastructure
The Package
Salary
$130K-$160K base
Equity
Likely; Series C company
Remote
On-site (San Jose, CA)
Benefits & Perks
Company Intelligence
UpGuard is a Cyber Risk Posture Management (CRPM) platform replacing manual security workflows with AI-driven precision. Fresh off $75M Series C, they're processing 100B risk signals daily and defining the Cyber VRM and Attack Surface Management categories. The platform integrates security ratings, threat intel, and agentic AI to help orgs stay ahead of evolving attack surfaces.
Funding
$75M Series C (recent)
Customers
Enterprise security teams managing third-party risk and external attack surface
Culture
Autonomy-first, shipping bias, technical rigor, category-defining mindset
Is This Role For You?
- You're comfortable with SQL/DDL and can write complex BigQuery queries to transform raw data into revenue signals
- You've shipped production n8n workflows at scale and understand node-based orchestration deeply (not just UI clicking)
- You use AI coding assistants (Cursor, Claude) daily and see them as force multipliers, not crutches
- You have hands-on HubSpot API experience-Custom Objects, workflows, and third-party syncing-not just admin panel knowledge
- You obsess over shipping functional automation over perfect architecture; you learn by doing and iterate ruthlessly
- You need remote flexibility-this is on-site in San Jose, non-negotiable
- You're a theorist who loves designing systems but struggles with scrappy execution and rapid iteration cycles
- You've only touched marketing automation through native connectors (Zapier, basic HubSpot UI); this role demands custom engineering
- You treat data pipelines as 'set it and forget it'-this requires continuous optimization and proactive bottleneck elimination
Interview Process
Initial Screening
Phone call with recruiter or marketing ops lead; walk through your n8n and BigQuery experience, most complex workflow you've built.
Technical Deep Dive
1-hour call with Engineering/Ops lead; review past integration architecture, discuss approach to optimizing a fragmented stack, whiteboard a multi-source data pipeline.
Take-Home Project
Design a custom n8n + BigQuery workflow to connect 3+ disparate sources and trigger a marketing action in HubSpot; 2-3 hours max, code it up or provide pseudocode with Claude.
Executive Alignment
Conversation with Head of Marketing or VP Growth; discuss vision for marketing engine, how you'd prioritize optimization roadmap, and what resources you'd need.
Offer + Equity Discussion
Once approved, expectation-setting on equity package, on-site start date, and first 30-day priorities.
Ready when you are
Interested in this role?
Apply now and hear back within days, not weeks.
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