Marketing Operations Manager

Iru•Miami, FL

3d•Hybrid

About The Position

Iru is hiring a Marketing Operations Manager to build and maintain the AI-powered systems, data, and infrastructure behind its marketing engine. The role ensures that data flows cleanly from first touch through closed revenue, campaigns are tracked and attributed accurately, and marketing teams have reliable information for decision-making. It also focuses on using AI agents and automation to reduce repetitive marketing work. Reporting to the Manager, GTM Operations, this role sits between Marketing and GTM Operations. It owns the website, HubSpot, campaign, and data infrastructure, as well as the integrations that connect them. The manager will build and improve AI workflows and agents, and design scalable infrastructure for a multi-product business serving different product lines, audiences, and go-to-market motions. Iru is an AI-powered security and IT platform that unifies identity and access, endpoint security and management, and compliance automation. The company is backed by General Catalyst, Tiger Global, Felicis, Greycroft, and First Round Capital. Its customers include Cursor, Vercel, Bumble, Plaid, Glean, Apollo, Replit, and Mercor, and it partners with ServiceNow and AWS.

Requirements

At least 5 years of experience in Marketing Operations, ideally at a multi-product B2B SaaS company.
Hands-on experience building and running AI-powered workflows or agents in production, using tools such as Claude, OpenAI, Clay, n8n, or HubSpot AI features.
Deep hands-on HubSpot expertise, including workflows, scoring, lifecycle management, custom objects, and data models.
Experience designing and maintaining marketing and GTM systems, including website, CRM, and campaign infrastructure and their connections.
Strong SQL skills and comfort with data models, CRM architecture, and warehouse data.
Experience building dashboards and analyses in tools such as Hex, Looker, or Tableau.
Strong understanding of UTM governance, campaign tracking, attribution modeling, and funnel analytics.
Experience managing APIs, middleware tools, and data synchronization across GTM systems.
Close attention to detail and ability to turn ambiguous or messy business needs into clean, scoped builds.

Nice To Haves

Experience integrating LLM APIs or MCP-connected tools into marketing workflows.
Experience with website tag management, such as Google Tag Manager, web analytics, and form-to-CRM data flows.
Hands-on experience with enrichment tools such as Clay, ZoomInfo, or Clearbit.
Experience supporting attribution and lifecycle models across multiple products or business lines.
Exposure to B2B security, IT, or infrastructure software companies.

Responsibilities

Own the architecture of marketing systems, including the website, HubSpot, campaign, and data infrastructure, and ensure they work together reliably.
Identify high-volume manual marketing work and replace it with AI agents and automations, such as lead research and enrichment, routing, list building, campaign QA, and reporting.
Build, monitor, and improve AI workflows, including adding fallback logic, tracking performance, and iterating on them.
Map and maintain data flows across the GTM stack, from website and form capture through HubSpot, the data warehouse, and reporting.
Own website data capture, including forms, tracking, and tag management, to ensure visitor and conversion data is captured and flows correctly into HubSpot.
Establish and enforce UTM and campaign tagging standards for accurate channel and campaign tracking and attribution.
Design, build, and maintain HubSpot workflows, lead and account scoring, lifecycle stages, lead routing, and custom objects and data models for a multi-product business.
Own MQL definitions, lifecycle stage progression, and lead handoffs to SDRs and Sales.
Manage the broader martech stack, including enrichment and AI tools, and own integrations between them.
Use SQL to query, model, and validate marketing data; build dashboards for attribution, campaign performance, and funnel conversion in Hex, Looker, and HubSpot.
Prepare marketing data for AI use by ensuring it is structured, clean, and documented.
Work with GTM Operations and GTM Engineering to maintain data consistency across functions and document systems so the team can scale them.