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The Marketing Operations AI Manager is responsible for designing, implementing, and optimizing AI-driven systems and workflows that power the marketing engine. This role sits at the intersection of marketing, data, and technology—owning how AI enhances efficiency, insight generation, and campaign performance across the marketing organization. You will lead the roadmap for AI adoption within Marketing Ops, improve data quality and automation, and enable teams to scale with intelligent tools and processes.
Job Responsibility:
Develop and own the AI strategy for marketing operations, aligning technology investments with business goals
Identify high-impact opportunities where AI can optimize workflows, personalization, segmentation, lead management, and reporting
Evaluate, implement, and manage AI tools and platforms used across the marketing tech stack
Build and maintain AI-driven workflows and automations within CRM, MAP, and integrated systems
Architect and optimize lead lifecycle processes, routing logic, and scoring using predictive and generative AI
Streamline campaign operations through automated tagging, data enrichment, and content workflows
Partner with RevOps, Sales Ops, and GTM teams to enhance cross-functional processes
Ensure data hygiene, standardization, and enrichment to improve AI model performance
Maintain governance frameworks for AI usage, including compliance, access control, prompt standards, and model reliability
Monitor data pipelines and troubleshoot issues impacting automation or analytics
Build AI-enhanced dashboards, attribution models, and performance insights for marketing leaders
Analyze funnel metrics, pipeline trends, and customer behavior to identify optimization opportunities
Use predictive modeling to forecast revenue, pipeline creation, and campaign performance
Educate marketing teams on AI best practices, tools, and workflows
Develop training materials, documentation, prompt libraries, and playbooks
Act as an internal SME on AI applications within marketing operations
Pilot new AI technologies and run experiments to test their impact on efficiency and performance
Continuously refine models, prompts, and workflows to improve accuracy and scale
Requirements:
4–7 years of experience in Marketing Operations, RevOps, Marketing Technology, or related roles
Strong understanding of MAP/CRM systems (e.g., Marketo, HubSpot, Salesforce)
Hands-on experience with automation, workflow design, and data management
Familiarity with AI tools and concepts such as generative AI, predictive modeling, LLM-based automation, and machine learning fundamentals
Proficiency with BI/reporting tools (Tableau, Looker, Power BI) and basic SQL a plus
Exceptional analytical, problem-solving, and project management skills
Ability to translate technical concepts for non-technical stakeholders
Nice to have:
Experience operationalizing AI models in GTM environments
Knowledge of attribution modeling and revenue analytics
Scripting or technical skills (Python, API integrations, automation platforms)
Experience in high-growth B2B SaaS or cybersecurity companies
What we offer:
Ability to work remotely, with office setup reimbursement