Senior Marketing Operations Engineer

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 complex technical concepts clearly and engage confidently with Marketing, Sales, and Finance stakeholders. A proactive, solutions-oriented mindset, with the ability to anticipate business needs rather than simply respond to requests. Strong sense of ownership, accountability, documentation, and continuous improvement. Excellent collaboration and organizational skills, with the ability to work effectively in a distributed, remote-first environment across different time zones. Benefits: Competitive annual salary: CAD $123,000–$156,000, depending on experience and qualifications. Equity opportunities: Generous equity compensation in addition to base salary. Fully remote work: Opportunity to work remotely from Canada and other eligible locations across the Americas. Flexible working hours: Freedom to organize your schedule and work when you are most productive. Unlimited paid time off: Flexibility to take time away from work and maintain a healthy work-life balance. Health insurance: Healthcare coverage for eligible Canadian employees. Retirement savings: Group RRSP benefits for eligible Canadian employees. Technology provided: Choice of a MacBook Pro or Lenovo laptop to support your work. Regular company retreats: Opportunities to connect and collaborate with colleagues in person. Professional growth: Opportunity to work with cutting-edge AI technologies, automation tools, and modern data infrastructure. High ownership and autonomy: Freedom to shape the marketing technology stack, experiment with new ideas, and drive meaningful operational improvements. Inclusive and collaborative culture: A working environment that values diversity, transparency, independence, innovation, and continuous learning. How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1