Senior Manager, GTM Engineering

Skills

About the Role

You will lead and grow the GTM Engineering function within Revenue Technology, acting as a player/coach who both builds and manages. You'll set the technical direction for how automation and AI accelerate revenue execution, while developing a team that partners directly with Sales, Marketing, and Customer Success to remove friction and ship practical solutions. As the founding manager of this new function, you'll define how the team operates, what it ships, and how it scales, spending time in code, workflows, and in front of frontline teams rather than only in management forums. You'll partner closely with Revenue Technology, Operations, Product, and Engineering to ensure work lands at quality and scale, shaping a function from the ground up and treating AI and automation as a core craft.

Requirements

• 7+ years in revenue operations, Salesforce development, or technical GTM roles
• People leadership experience through formal management or mentoring engineers and analysts
• Deep Salesforce expertise across declarative tooling and code (Flow, Apex, APIs)
• Fluent with automation and integration platforms (Zapier, Workato, BlinkOps, or similar)
• Scripting experience (Python or JavaScript)
• Experience with modern AI agent and LLM tooling applied to live workflows, including agentic development tools like Claude Code
• Experience building automation or AI into real revenue workflows such as routing, enrichment, Q2C, forecasting hygiene, or outreach
• Strong discovery instincts to scope work that moves a number
• Pragmatic delivery bias, shipping iteratively and instrumenting what you build
• Credible across functions, able to hold a technical line with Engineering and translate it into business terms

Responsibilities

• Set the technical direction, operating model, and standards for the team
• Recruit, develop, and retain GTM Engineers as the function grows
• Ship alongside the team on the highest leverage problems
• Define what good looks like for discovery, build quality, and impact measurement
• Identify where automation and AI can replace manual work, accelerate execution, or unlock new capabilities
• Build durable automation patterns using AI agents, integration platforms, scripting, and Salesforce native tooling
• Own the standards for how AI gets deployed safely in revenue workflows
• Build trust with Sales, Marketing, CS, and Operations leaders to surface the right problems and align on priorities
• Translate revenue strategy into engineering work, and engineering work into business outcomes
• Operate as a credible technical voice in cross functional forums
• Lead the team in delivering iterative, measurable improvements
• Balance quick wins against larger initiatives that require formal prioritization
• Maintain a tight feedback loop between build, validate, and refine
• Partner with Program Management on landing and scaling accelerator programs
• Coordinate with Salesforce administration, Revenue Systems (Q2C), and Revenue Tools
• Contribute to roadmap, capacity, and investment decisions across Revenue Technology

Benefits

• Equity
• Generous benefits program