Manager, Gtm Engineering (automation & Ai)

New Relic New Relic · Enterprise · CA · Enterprise

Manager for GTM Engineering focused on integrating AI and automation tools into the sales and marketing technology stack to improve efficiency and scale business outreach. Responsibilities include managing tech stack, executing automated workflows, managing data pipelines, and translating data into actionable insights.

What you'd actually do

  1. Integrate with and optimize the core Sales and Marketing technology stack (Salesforce, Clay, Boomi, Salesloft) in alignment with customer-centric initiatives.
  2. Execute end-to-end automated workflows (lead scoring, routing, alerts) and deploy AI/ML solutions to scale business outreach efficiency.
  3. Manage data pipelines and routine hygiene (deduplication, enrichment) across systems; maintain dashboards to track key GTM metrics and deliver forecasting to leadership.
  4. Work with Program teams to map GTM workflows and drive technical projects from requirements gathering through implementation and user adoption.

Skills

Required

  • people management or relevant leadership experience
  • experience in automation engineering, GTM operations, or system integration roles in a B2B SaaS environment
  • understanding of the GTM tech stack and processes, including expertise with major CRM and sales automation tools (such as Salesforce Sales Cloud and Clay) as well as data integration tools or ETL platforms for data warehousing
  • hands-on experience building workflows and integrations using integration platforms and/or Python-based APIs, webhooks, and data structures
  • cross-functional collaboration skills
  • translating complex business needs and GTM strategy into robust, scalable technical solutions
  • documenting and maintaining automation frameworks, process maps, and adhering to security/compliance standards
  • translate pipeline and revenue data into actionable insights
  • Exposure to or hands-on implementation of AI-based workflow tools or LLM-powered automation in a GTM context
  • Strong understanding of SaaS sales motions (enterprise, mid-market, and expansion) and funnel metrics

Nice to have

  • AI/ML
  • automation

What the JD emphasized

  • AI and automation tools
  • AI/ML solutions
  • AI-based workflow tools or LLM-powered automation

Other signals

  • AI/ML integration in GTM
  • Automation frameworks
  • Data pipelines and analytics for GTM