Senior Marketing Operations Engineer

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Marketing Operations Engineer based in Canada.

As a Senior Marketing Operations Engineer, you will play a key role in building and managing the systems, data infrastructure, and automations that power marketing performance and revenue growth. Working closely with the Revenue Operations team, you will serve as the primary technical partner for Marketing, developing scalable solutions that improve efficiency, visibility, and decision-making. You will lead the development of marketing attribution models, reporting infrastructure, lifecycle processes, and AI-powered workflows. This hands-on role combines software engineering, data analytics, marketing technology, and automation to transform how marketing operations function. You will have significant ownership over the technology stack, with the freedom to design, implement, and continuously improve solutions. Joining a fast-growing, AI-driven environment, you will help shape the future of marketing operations within a collaborative, remote-first team.

Accountabilities:

• Own marketing reporting systems and the underlying data infrastructure, ensuring accurate and reliable attribution, campaign performance tracking, and funnel reporting.

• Build and maintain end-to-end data flows connecting HubSpot, data warehouses, and business intelligence tools to provide consistent marketing insights.

• Develop and deploy AI-powered and agentic workflows that automate marketing activities, including inbound lead research, lead qualification, campaign performance summaries, and content-to-pipeline analysis.

• Design and maintain the marketing data model, including lifecycle stages, campaign structures, UTM tracking standards, lead scoring frameworks, and marketing-sourced pipeline definitions.

• Establish reliable attribution methodologies and reporting processes that align Marketing, Sales, and Finance around consistent performance metrics.

• Act as the primary operations partner for the Marketing team, supporting campaign execution, webinar and event workflows, email marketing, lead nurturing, outbound activities, and advertising platform integrations.

• Build, optimize, and maintain marketing automation infrastructure to reduce manual work and improve operational efficiency.

• Take ownership of the marketing technology stack, identifying opportunities to introduce new tools, improve integrations, and replace inefficient systems.

• Develop, test, deploy, and monitor custom code, integrations, and automation workflows, ensuring they remain reliable and scalable in production.

• Implement monitoring, documentation, and troubleshooting processes to identify failures, maintain system performance, and support infrastructure growth.

• Collaborate with cross-functional stakeholders to anticipate operational needs, translate business challenges into technical solutions, and deliver measurable improvements.

• Continuously explore emerging AI technologies and automation capabilities to improve marketing productivity and decision-making.

Requirements:

• At least four years of experience in Revenue Operations (RevOps) or Marketing Operations, including a minimum of two years owning marketing operations end to end.

• Strong experience managing marketing CRM processes, lead lifecycle management, attribution models, campaign operations, and performance reporting.

• Hands-on knowledge of HubSpot, particularly Marketing Hub and Sales Hub, is a strong advantage.

• Demonstrated software development experience, with the ability to write, review, test, and deploy production-ready code independently.

• Experience building AI-powered workflows and automation solutions using tools such as Claude Code, Cursor, and n8n.

• At least one proven example of an LLM-powered workflow deployed reliably and actively used by a business team.

• Strong technical understanding of data models, system integrations, infrastructure monitoring, and production environments.

• Familiarity with Python, APIs, automation frameworks, and data warehouse technologies such as BigQuery.

• Ability to work comfortably in terminal environments, manage servers and deployment environments, troubleshoot infrastructure, and use tools such as SSH when required.

• Experience designing and maintaining scalable systems, with an understanding of performance, reliability, failure scenarios, and infrastructure requirements as usage grows.

• Familiarity with marketing technology and digital acquisition channels, including LinkedIn, Meta, Google, and Reddit advertising platforms.

• Knowledge of website and campaign infrastructure, lead routing, outbound platforms, webinars, events, and email nurturing systems.

• Strong analytical skills, with the ability to evaluate marketing funnels, attribution models, pipeline performance, and business metrics.

• Ability to communicate…