Marketing Technology (MarTech) Manager

Money Maximising Advisors Limited; Connacht; On-site; EUR 33,000 - 41,000; Full time

Job summary

Money Maximising Advisors Limited in Ireland seeks a strategic systems-thinker to architect enterprise marketing automation and data pipelines for high-volume campaigns.

You will manage data integration, server-side tracking, and AI-driven optimization, aligning RevOps metrics with sales pipelines and dashboards.

Qualifications

• Experience architecting enterprise marketing automation platforms.
• Ability to build data pipelines between ad platforms, MAP, CRM and data warehouse.
• Experience with server-side tracking and webhook integrations.
• Proficiency in multi-channel automation and journey orchestration.
• Experience with predictive lead scoring and AI-driven optimization.

Responsibilities

• Architect marketing tech stack and ensure seamless data integration.
• Design multi-channel automated journeys with frequency control.
• Integrate AI models for lead scoring and journey branching.
• Align RevOps metrics with marketing data and dashboards.
• Translate marketing data to sales pipelines with reliable dashboards.

Skills

MAP Mastery

Webhook Integrations

API rate limits

GTM Server-Side

Meta Conversions API

Data Warehousing

Snowflake

BigQuery

iPaaS Make

Zapier

Fivetran

Segment

Looker

Tableau

Power BI

GA4

GoHighLevel

Salesforce Marketing Cloud

Marketo Engage

Oracle Eloqua

Tools

Marketo Engage

Oracle Eloqua

Salesforce Marketing Cloud

GTM

Snowflake

BigQuery

Job description

This role is designed for a strategic systems-thinker who possesses deep expertise in enterprise marketing automation, server-side tracking, and data warehousing. You will not be writing standard email copy or making Canva graphics; you will be building the pipelines that manage 10,000+ records, tracking multi-touch attribution, and orchestrating complex cross-channel automated journeys.

Core Responsibilities

Systems Architecture & Data Fluidity: Build and manage our core marketing technology stack, ensuring seamless data integration between our ad platforms, enterprise MAP (Marketing Automation Platform), CRM (e.g., Salesforce, Dynamics), and our data warehouse.

Enterprise Automation Orchestration: Architect complex, multi-channel automated workflows (email, SMS, web personalization) using dynamic triggers. You must understand frequency control, journey governance, and predictive lead scoring models.

AI-Driven Optimization: Integrate predictive AI for lead scoring and dynamic journey branching, utilizing generative AI models (via API) to scale personalization across high-volume campaigns.

Revenue Operations (RevOps) Alignment: Ensure that marketing data translates flawlessly to sales. You will build dashboards tracking SQL rates, pipeline generated, CAC payback periods, and LTV:CAC—not just clicks and impressions.

Required Technical Expertise

Enterprise MAP Mastery: Advanced proficiency in at least one enterprise-grade marketing automation platform (e.g., Marketo Engage, Oracle Eloqua, or Salesforce Marketing Cloud). You must be capable of handling webhook-based integrations and API rate limits.

Tracking & Tag Management: Expert-level knowledge of Google Tag Manager (specifically Server-Side GTM container setups), the Meta Conversions API, and event streaming protocols.

Data Integration & Reverse ETL: Deep working knowledge of integrating data with a central warehouse (e.g., Snowflake, BigQuery) and using data orchestration tools or iPaaS platforms (e.g., Make, Zapier, Fivetran, or Segment) to sync customer behavioral data.

Analytics & Business Intelligence: Capability to turn complex datasets into actionable dashboards using BI tools (e.g., Looker, Tableau, or Power BI) alongside platforms like GA4.

GoHighLevel (GHL) Proficiency: High capability in configuring GHL snapshots, building complex trigger-based automations, and managing its CRM ecosystem as a component of the broader stack.

Renumeration: EUR 37,000 yearly

The hours of work (Mon-Fri): 8:15 AM - 5:00 PM (39 hour per Week)