Tracking Specialist (GTM) | Remote for Marketing Agency for Education
Our client is a fast-growing performance marketing agency specializing in mission-driven organizations across higher education and nonprofit sectors.
Since launching in ****, the agency has built a strong reputation for combining strategic thinking, creative execution, and data-driven marketing to help universities and organizations achieve measurable growth.
Company Overview:
Our client is a fast-growing performance marketing agency specializing in mission-driven organizations across higher education and nonprofit sectors.
Since launching in ****, the agency has built a strong reputation for combining strategic thinking, creative execution, and data-driven marketing to help universities and organizations achieve measurable growth.
Your Role:
The Tracking Specialist is a key member of the agency's Data and Analytics team, owning the web analytics and pixel deployment architecture that everything downstream depends on.
You'll implement tracking via Google Tag Manager, troubleshoot setup issues across every paid ad platform the agency runs, and make sure data collection from client websites is airtight, from the first click through to CRM entry.
Reporting to the Data and Analytics Manager, you're joining at a pivotal moment — the agency is scaling its roster of education and nonprofit partners, and this role is instrumental in evolving the tracking workflow that keeps every campaign measurable and every report trustworthy.
You'll:
Own tag management & deployment — deploy, configure, and maintain pixels, tags,



and scripts in Google Tag Manager (native templates and Custom HTML); build and maintain data layers with the Web Services team; manage GTM container structure, triggers, and variables across a multi-client environment; implement server-side tagging where it improves measurement accuracy and durability
Own conversion tracking & platform integratig of automated testing and modern software development practices.
Familiarity with cloud environments, CI/CD pipelines, deployments, and production operations.
Ability to reason through technical trade-offs and make pragmatic architectural decisions.
Strong ownership and ability to work independently in an evolving product environment.
Product mindset: you understand not only how to build something, but also why it should be built.
AI-Native Engineering Experience
Hands-on experience using AI development tools is especially important for this position.
We're particularly interested in engineers who actively use tools such as:
Claude Code
OpenAI Codex
Cursor
GitHub Copilot
Windsurf
Other AI coding agents or agentic development tools
More importantly, we're looking for someone who uses AI beyond code completion.
You should be comfortable using AI to:
Understand unfamiliar codebases.
Investigate architecture and dependencies.
Design implementations.
Generate and refactor production code.
Debug complex issues.
Create and improve automated tests.




Review code and identify potential issues.
Automate repetitive engineering tasks.
Accelerate delivery while maintaining engineering quality.
We're looking for someone who sees AI as a core engineering tool , while still bringing the technical judgment required to make strong software and architectural decisions.
Nice to Have
Experience working in early-stage or high-growth product companies .
Previous experience as a Staff Engineer, Principal Engineer, Tech Lead, Founding Engineer, or similar high-ownership role .
Experience building AI-powered SaaS products.
Experience integrating LLMs or AI APIs into production applications.
Experience with document-heavy or workflow-intensive platforms.
Experience designing authorization systems, permissions, RBAC, and auditability.
Experience with LegalTech, FinTech, transaction platforms, Private Equity, or other complex B2B SaaS products.
Experience improving engineering productivity through developer tooling and automation.
What Success Looks Like
Success in this role goes beyond writing more code.
You'll help the team ship significantly faster while simultaneously strengthening the architecture, reliability, maintainability, and technical maturity of the platform .
The goal is to combine strong engineering judgment with AI-native development practices to dramatically increase what a small engineering team can build.
What Darwoft Offers
Contractor agreement with payment in USD
100% remote work
Argentina's public holidays
English classes
Referral program
Access to learning platforms
Explore this and other opportunities at:
#J-*****-Ljbffr

📌 Remote Gtm Tracking Specialist For Education & Nonprofits (Neuquén)
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📍 Neuquén