Director, Marketing Engineering & AI

New Relic New Relic · Enterprise · CA · Management & Operations

This role leads the integration and adoption of AI technologies within the marketing organization to drive scale and efficiency. It involves managing technical marketers, overseeing campaign operations, and optimizing the marketing tech stack with a focus on AI-forward solutions.

What you'd actually do

  1. Lead Marketing Campaign Operations: Oversee the technical execution of campaign operations to support key marketing team initiatives and drive measurable results.
  2. Drive AI Strategy & Implementation: Evaluate and identify opportunities to use AI and emerging technologies to improve marketing results. Lead the transition to AI-forward workflows to increase scale and efficiency.
  3. Lead from the Front: Manage a team of technical marketers through problem solving in service of delivering business requirements and amazing prospect and customer experiences.
  4. Cross-Functional Collaboration: Partner with stakeholders across the company to ensure a seamless and excellent experience for both prospects and customers.
  5. Optimize Tech Stack: Partner with technology teams across the business to acquire, deploy, and maintain key marketing systems, ensuring they are integrated and optimized for revenue growth and business profitability.

Skills

Required

  • marketing technology
  • marketing campaign operations
  • B2B enterprise technology or SaaS environment
  • AI Leadership
  • Account Based Approach (ABM)
  • Technical Implementation
  • Stakeholder Management
  • Marketo
  • Salesforce
  • AI-driven marketing tools

Nice to have

  • Claude (Cowork, Code, etc) and other workflow or agentic AI tools
  • high-growth digital marketing environment
  • product led growth and self service
  • driving revenue and retention within a large enterprise customer base
  • Masters/MBA

What the JD emphasized

  • AI Leadership
  • AI-forward tooling and workflows
  • transition to AI-forward workflows
  • Claude and/or other AI tools
  • technical teams through complex implementations
  • driving broad organizational adoption

Other signals

  • AI-forward tooling and workflows
  • transition to AI-forward workflows
  • AI Leadership