openleverjobgether
Marketing Technology Engineer
Jobgether
LocationCanada
EmploymentFull-time
Posted2026-08-26T05:16:26.394000+00:00
Last observed2026-08-26 21:51:40.410433
Job idjobgether-jobgether:lever:d3b7f45c-7a93-45f0-b338-b57fb326c234
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Marketing Technology Engineer based in Canada. This is a highly technical role embedded within a modern marketing organization, focused on automation, AI, data, and marketing systems. You will own the automation and AI layer that powers critical marketing workflows and reduces manual operational effort. The role combines marketing operations expertise with hands-on engineering across agents, integrations, data pipelines, and automation platforms. You will build reliable systems that operate independently while ensuring their outputs remain accurate, measurable, and trustworthy. You’ll work closely with marketing stakeholders to translate operational challenges into scalable technical solutions. The environment is fast-moving, distributed, and highly autonomous, with significant ownership over consequential marketing infrastructure. This opportunity is ideal for someone who enjoys solving ambiguous problems, experimenting with emerging AI technologies, and turning ideas into production systems. Own the full operating lifecycle of the marketing organization’s AI agents and automated workflows, including provisioning, deployment, monitoring, output verification, alerting, and incident response. Design, build, test, and continuously optimize agentic workflows and automations that eliminate repetitive manual processes and improve marketing team productivity. Evaluate marketing processes and apply sound business judgment to determine which workflows should be automated and where automation will create the greatest impact. Instrument automation and AI systems to track usage, output quality, performance, and business value, using feedback to continuously improve their effectiveness. Establish consistent definitions for core marketing concepts such as territories, lead-scoring stages, MQLs, MQAs, pipeline stages, and targets across tools, dashboards, agents, and product lines. Own the marketing technology stack, including configuration, administration, integrations, and ongoing improvements, while enabling campaign teams to handle routine changes independently. Build and maintain production-grade integrations and automations using platforms such as Clay, Zapier, Workato, n8n, or comparable technologies. Develop reliable data and workflow infrastructure that can operate unattended, with appropriate monitoring and safeguards to identify failures before they impact business operations. Collaborate closely with marketing operations and broader go-to-market stakeholders to translate business requirements into scalable technical solutions. Improve engineering practices within marketing technology by introducing version control, code review, testing, CI/CD, shared repositories, and maintainable development processes. Help advance the use of AI across marketing workflows by identifying opportunities to increase speed, quality, leverage, and operational efficiency. Requirements Previous professional experience in marketing or marketing operations is required, with a strong understanding of marketing funnels, attribution, lead scoring, campaign execution, deliverability, list hygiene, and consent practices. Demonstrated experience building and operating production automation within a go-to-market or marketing function, using tools such as Clay, Zapier, Workato, n8n, or similar platforms. Experience owning unattended systems, pipelines, integrations, or AI agents, including diagnosing failures, validating outputs, and implementing monitoring and safeguards. Evidence of progressing from no-code or low-code automation into software engineering practices, including version control, code reviews, testing, CI, and deployment through shared repositories. Working proficiency in SQL and Python , with solid REST API fundamentals and an understanding of secure secrets and credential management. Familiarity with data warehouses s
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