About The Position

Checkmarx is the leader in agentic application security, delivering enterprise-grade protection while helping organizations lower engineering costs and accelerate development velocity. The Checkmarx One platform scans trillions of lines of code each year, enabling companies to cut vulnerability density by more than half. Autonomous security agents continuously detect and counter AI-driven threats across the software development lifecycle, delivering prevention-first protection for legacy, modern, and AI-generated code at enterprise scale. Role Overview The Marketing Operations Manager, AI & Automation will be responsible for design, implementation, optimization, and governance of AI-powered workflows across the marketing stack. This role sits at the intersection of marketing operations, revenue systems, and applied AI—ensuring tools are intelligently configured, continuously optimized, and adopted effectively across marketing and sales development. The ideal candidate has deep hands-on experience with Qualified, HubSpot, Salesforce, and Outreach, with a strong interest in building, training, and maintaining AI agents, automations, integrations, and improving data quality. The individual best suited for this role thrives on creativity and collaboration, powered by a deep curiosity. This role partners closely with Marketing, Sales Ops, RevOps, and Enablement to scale efficiency, insight, and impact.

Requirements

  • 4-7 years of Marketing Operations, Revenue Operations, or Systems Operations experience
  • Hands-on experience with HubSpot, Qualified, and Salesforce (required)
  • Proficiency with BI/reporting tools such as PowerBI, Tableau, Sisense, or Calibermind, and the ability to translate data into action
  • Experience training, configuring, or optimizing AI features within martech and salestech platforms
  • Familiarity with SDR tools such as Outreach and Highspot
  • Experience building automations and integrations using n8n or similar workflow tools
  • Understanding of AI agents, prompt design, workflow orchestration, and governance
  • Excellent cross-functional communication and documentation skills

Nice To Haves

  • Experience in global cybersecurity organizations
  • Experience with CaliberMind (or other multi-touch attribution platforms)
  • Background in RevOps or Sales Ops
  • Familiarity with data enrichment, intent data, and conversation intelligence tools
  • Experience managing or mentoring junior ops team members

Responsibilities

  • Define and execute the AI and automation roadmap across the marketing and revenue tech stack
  • Identify opportunities to apply AI for lead management, campaign optimization, personalization, forecasting, enablement, and operational efficiency
  • Evaluate, test, and implement AI capabilities within existing tools and emerging platforms, with a particular focus on Qualified, Hubspot, and Outreach.
  • Train and fine-tune AI models, copilots, and agents within tools such as Qualified, HubSpot, Salesforce, Outreach, and Highspot
  • Optimize AI-driven workflows (e.g., lead routing, scoring, prioritization, content recommendations, conversation intelligence)
  • Monitor AI performance, accuracy, bias, and impact; continuously iterate based on results, partnering with product marketing and solutions engineering to ensure accuracy and up-to-date information
  • Design, build, and maintain AI agents and automated workflows using native platform automation and recommending new tools
  • Integrate AI agents across systems to support end-to-end revenue processes
  • Document agent logic, prompts, guardrails, and governance standards
  • Working within Qualified, HubSpot and Salesforce, ensuring clean data, scalable architecture, and strong integrations across platforms
  • Partner with Marketing, Sales Ops and RevOps on areas of opportunity for workflow optimization with AI, including lead lifecycle, attribution, pipeline visibility, and forecasting
  • Support tools including Outreach, Highspot, and CaliberMind
  • Train marketing and SDR teams on AI-powered features and best practices
  • Create documentation, playbooks, and governance for AI and automation usage
  • Act as the internal subject matter export on AI applications within marketing operations
  • Define success metrics for AI and automation initiatives
  • Leverage dashboards and reporting to measure impact on pipeline, conversion rates, efficiency, and revenue
  • Communicate insights and recommendations to leadership

Benefits

  • Competitive salary
  • Medical, dental, vision, 401(K), and additional incentives
  • Culture of community and opportunity to work in a growing organization
  • Room for career growth and professional development
  • Training and educational opportunities
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