Manager, GTM Engineering (Automation & AI)

Responsibilities

• GTM Tech Stack Management: Integrate with and optimize the core Sales and Marketing technology stack (Salesforce, Clay, Boomi, Salesloft) in alignment with customer-centric initiatives.
• Workflow & AI Automation: Execute end-to-end automated workflows (lead scoring, routing, alerts) and deploy AI/ML solutions to scale business outreach efficiency.
• Data Integrity & Analytics: Manage data pipelines and routine hygiene (deduplication, enrichment) across systems; maintain dashboards to track key GTM metrics and deliver forecasting to leadership.
• Process Execution & Enablement: Work with Program teams to map GTM workflows and drive technical projects from requirements gathering through implementation and user adoption.
• This role requires
• 2+ years of people management or relevant leadership experience, such as leading a small team of GTM Automation/Ops engineers.
• 5+ years of experience in automation engineering, GTM operations, or system integration roles in a B2B SaaS environment.
• Solid, proven 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.
• Expert-level, hands-on experience building workflows and integrations using integration platforms and/or Python-based APIs, webhooks, and data structures.
• Strong cross-functional collaboration skills, with a track record of translating complex business needs and GTM strategy into robust, scalable technical solutions.
• Experience documenting and maintaining automation frameworks, process maps, and adhering to security/compliance standards.
• Proven ability to translate pipeline and revenue data into actionable insights that influence stakeholders across all levels of the organization.
• 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.
• Please note that visa sponsorship is not available for this position.
• #LI-ZH1 #LI-Remote
• The pay range below represents a reasonable estimate of the salary for the listed position. This role is eligible for a corporate bonus plan. Pay within this range varies by work location and may also depend on job-related factors such as an applicant's skills, qualifications, and experience.
• Estimated Base Pay Range
• $136,000 - $170,000 USD
• If you require a reasonable accommodation to complete any part of the application or recruiting process, please reach out to resume@newrelic.com .
• We believe in empowering all Relics to achieve professional and business success through a flexible workforce model. This model allows us to work in a variety of workplaces that best support our success, including fully office-based, fully remote, or hybrid.
• Our hiring process
• In compliance with applicable law, all persons hired will be

Benefits

Additional Information

We are a global team of innovators and pioneers dedicated to shaping the future of observability. At New Relic, we build an intelligent platform that empowers companies to thrive in an AI-first world by giving them unparalleled insight into their complex systems. As we continue to expand our global footprint, we're looking for passionate people to join our mission. If you're ready to help the world's best companies optimize their digital applications, we invite you to explore a career with us! Your opportunity As the Manager, GTM Engineering (AI and Automation), you will be key to constructing and maintaining our "Revenue Velocity" engine with a specialized team of architects. In this high impact role, you will report to the Director of Enterprise Systems & Solutions. You will be responsible for the successful technical integration of advanced AI and automation tools throughout our Go-To-Market (GTM) technology stack. This role requires a proactive player-coach who balances thinking strategically about our revenue systems while remaining deeply involved in the creation of durable, data-driven automation frameworks.

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