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AI Marketing Technology Lead

Avenue Z
United Statesfull_timeVerifiedPosted 27 Apr 2026
💰 $75,000/yr

About the role

About Avenue Z, Inc.


At Avenue Z, we are a dynamic media and technology company with a powerful influence across all channels. Our leadership has been at the forefront of digital marketing and communications for over 30 years, pioneering innovative strategies that drive meaningful change in brand performance and business growth.


When you join Avenue Z, you become part of a team that doesn’t just adapt to change but leads it, guiding some of the world’s most influential leaders and brands to new heights. We are driven by a deep passion for our craft and an unwavering commitment to integrity in everything we do. If you share our passion and values, explore our current job openings to see how you can make an impact with us.

The AI Marketing Technology Lead sits at the intersection of marketing, data, and AI engineering.


You will own key parts of our martech and analytics stack, ensure data quality and visibility across channels, and design, build, and iterate on AI-powered workflows and internal tools that help Avenue Z teams work faster and smarter.


This is a hands-on builder role: you will scope problems with stakeholders, define requirements, and personally ship automations, agents, and analytics capabilities that support marketing and revenue outcomes.


Primary Responsibilities

Product Discovery & Requirements

  • Partner with PR, SEO/AIO, content, paid media, strategy, and analytics teams to understand data needs, bottlenecks, and manual workflows.
  • Translate business questions into clear technical requirements for data models, dashboards, and AI/automation solutions.
  • Maintain a prioritized backlog of AI and analytics opportunities tied to measurable business impact.

Data, Analytics & Tracking

  • Own implementation and governance for Google Tag Manager (GTM) and GA4, ensuring accurate event tracking, conversions, and attribution.
  • Design and maintain dashboards and reports that give teams visibility into performance (pipeline, conversion, efficiency, and quality metrics).
  • Define and enforce standards for UTM tagging, source tracking, and data hygiene across key systems (e.g., Salesforce, HubSpot).
  • Partner with analytics and finance to ensure data consistency and reliable decision-making across tools.

AI Workflows & Automation

  • Design and build agentic AI workflows and internal tools using platforms such as n8n, Zapier, OpenClaw, Glean, Make, Lovable, and Replit.
  • Implement AI-assisted workflows for research, QA, reporting, content support, and operational checks—focusing on speed, reliability, and clear outputs.
  • Prototype quickly, test with real users, and move successful builds into stable, monitored production use.
  • Define prompts, logic, approvals, error handling, and notifications so systems are robust and trustworthy.
  • Document workflows in visual tools and enable team members on process improvements.

Martech Stack & Integrations

  • Evaluate, recommend, and integrate tools across the martech and analytics stack to improve data visibility and operational efficiency.
  • Collaborate with IT, sales ops, and vendors to manage integrations, APIs, and data syncs between platforms.
  • Document architecture, data flows, and standard operating procedures so systems are understandable and maintainable.

Enablement & Collaboration

  • Interview stakeholders and capture product and project requirements
  • Lead marketing process mapping exercises with department leads
  • Translate complex technical and analytical concepts into clear, actionable guidance for non-technical stakeholders.
  • Train teams on new dashboards, tools, and workflows to drive adoption and consistent usage.
  • Collect feedback from end users and iterate on solutions to improve usability, reliability, and impact.


Qualifications

Required

  • 3–5+ years in product,

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Company

Avenue Z

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