Senior Marketing Operations Engineer

Accountabilities: Own marketing reporting systems and the underlying data infrastructure, ensuring accurate attribution, campaign performance measurement, and funnel reporting across the organization. Build and maintain reliable data pipelines connecting HubSpot, data warehouses, and reporting platforms to provide consistent and actionable 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 consistent attribution methodologies and reporting processes that align Marketing, Sales, and Finance around shared performance metrics. Serve as the primary operations partner for the Marketing team, supporting campaign execution, webinars, events, email marketing, lead nurturing, outbound activities, and advertising platform integrations. Build, optimize, and maintain marketing automation infrastructure to reduce manual processes and improve operational efficiency. Take ownership of the marketing technology stack, identifying opportunities to introduce new tools, improve integrations, and enhance existing systems. Develop, test, deploy, and monitor custom code, integrations, and automation workflows, ensuring reliability and scalability in production environments. 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 business decision-making. Requirements: At least four years of professional experience in Revenue Operations (RevOps) or Marketing Operations, including a minimum of two years managing marketing operations end to end. Strong experience with 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 independently write, review, test, and deploy production-ready code. 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 collaborate effectively 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 organizational and collaboration skills, with the ability to work effectively in a distributed, remote-first environment. Benefits: Competitive annual salary ranging from $149,000 to $195,000 USD, depending on experience and qualifications. Equity compensation, providing an opportunity to participate in the company's long-term growth. Fully remote working arrangement, allowing you to work from anywhere within the United States. Flexible working hours, giving you the autonomy to organize your schedule around your productivity and personal commitments. Unlimited paid time off, supporting a healthy work-life balance. Comprehensive health insurance for eligible US employees. 401(k) retirement savings plan to support long-term financial planning. Company-provided equipment, with a MacBook Pro or Lenovo laptop. Regular in-person company retreats, creating opportunities for team connection and collaboration. Professional development opportunities, including exposure to cutting-edge AI technologies, automation tools, and modern data infrastructure. High levels of autonomy and ownership, with the freedom to shape the marketing technology stack and implement innovative solutions. Inclusive and collaborative culture, built around 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