Marketing Technology Engineer

This is a fully remote position, open to applicants in United States, +2 more countries.

📋 Description

• Take ownership of the operational layer for the marketing team’s agent fleet from start to finish, involving provisioning, output verification, monitoring, alerting, and incident management.

• Create and develop agentic processes, skills, and automations that eliminate manual tasks for the marketing team.

• Utilize marketing insight to determine which automation projects are valuable to pursue.

• Implement systems that provide visibility into usage, output, and value for leadership review.

• Enhance agents based on feedback instead of allowing them to remain static after launch.

• Standardize definitions of marketing concepts across various tools and agents, including territory, lead scoring stages, MQL, MQA, pipeline stages, and targets.

• Maintain consistency of automations and dashboards across two product lines.

• Manage the configuration, administration, and integration of the MarTech stack.

• Develop systems that enable the campaign execution team to extend functionality without requiring engineering assistance for routine tasks.

⛳️ Requirements

• Prior experience in marketing or marketing operations is essential, not just preferred.

• Strong understanding of funnel and attribution principles, lead scoring, send cadence and deliverability standards, as well as list hygiene and consent regulations.

• Experience operating an unattended pipeline, integration, or agent personally.

• Proven track record of developing production automation within a GTM function using tools such as Clay, Zapier, Workato, n8n, or similar platforms.

• Knowledge of version control, code review, continuous integration, testing, and deployment into a shared repository.

• Working proficiency in SQL and Python is required.

• Solid understanding of REST API fundamentals.

• Familiarity with secrets management for credentials and API keys.

• Fluency in data warehousing, such as BigQuery, to query and analyze data models.

• Hands-on experience with the administration of HubSpot and Salesforce.

• Proficiency in utilizing AI to enhance workflows, structure and resolve issues, improve output quality, and increase efficiency and effectiveness.

• Direct experience with Claude or n8n is considered a plus.

• Experience in constructing multi-step enrichment waterfalls in Clay or similar tools is advantageous.

• Familiarity with observability or data quality practices is beneficial.

• Experience providing support for multiple product lines is a plus.

🏝️ Benefits

• Competitive benefits, wellness programs, and time off from work, which vary by country and local employment regulations.