Senior Marketing Operations & AI Automation Manager

USA (Remote)

Salary Not AvailableSenior Level4+ years expFull time

Posted 5 months ago

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Job Summary

The role centers on defining and executing AI and automation strategy across the marketing and revenue tech stack, with responsibilities spanning implementation, training, governance, and martech ownership. It emphasizes collaboration with Marketing, Sales Ops, and RevOps, and measuring impact on pipeline and efficiency. The candidate will build and maintain AI agents and workflows, ensure data quality, and drive adoption across teams.

Job Description

Responsibilities

  • AI & Automation Strategy: 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.
  • AI Training & Optimization: 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
  • Agent & Workflow Development: 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
  • Martech Stack Ownership: Working within Qualified, HubSpot and Salesforce, ensuring clean data, scalable architecture, and strong integrations across platforms

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

Preferred

  • 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

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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Checkmarx

3.9 Glassdoor

Checkmarx helps the world’s largest enterprises get ahead of application risk without slowing down development. We end the guesswork by identifying the most critical issues to fix and give AppSec the tools they need, all while letting developers work the way they want. From DevSecOps to developer experience, security and development teams can now work better together. That’s why 1700+ customers rely on Checkmarx to scan over 1 trillion lines of code annually, improve developer productivity by 50%, and deliver 2X AppSec ROI. Checkmarx. Always Ready To Run.

Founded in 2006
Paramus, New Jersey, USA
991 employees (51 in marketing)
74% recommend to a friend
85% CEO approval

Traffic Signals

Monthly Visitors
110.8K
Monthly Google Ads Budget
$4.8K
Traffic Source Mix
Search
45.8%
Direct
39.6%
Referral
9.1%
Social
4.3%
Paid
1%

Headcount Trend

Current headcount: ~995

Marketing Team

Marketing Team Size
37 (4% of company)
Marketing Roles Posted (Last 30 Days)
1

Funding

Total Funding
$92M
Last Raise
$84M
Series C, 11 years ago

Funding History

  • Jun 2015
    Series C • $84M
  • Nov 2013
    Series B • $8M
  • Sep 2013
    Series Unknown

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