Set the technical direction, operating model, and standards for the team
Recruit, develop, and retain GTM Engineers as the function grows
Stay hands on. Ship alongside the team on the highest leverage problems
Define what good looks like for discovery, build quality, and impact measurement
Drive Automation and AI Across Revenue Workflows
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, in partnership with the AI Council and broader Revenue Technology org
Partner Directly with Revenue Leaders
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
Ship Practical Solutions with Speed
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
Strengthen the Revenue Technology Operating Model
Partner with Program Management on landing and scaling accelerator programs
Coordinate with Salesforce administration, Revenue Systems (Q2C), and Revenue Tools to ensure GTM Engineering work integrates cleanly with the broader platform
Contribute to roadmap, capacity, and investment decisions across Revenue Technology
Requirements
A senior practitioner with 7+ years in revenue operations, Salesforce development, or technical GTM roles, with enough range and judgment to set standards others will follow
People leadership experience, whether through formal management or through mentoring engineers and analysts, and ready to own and grow a team
Deep Salesforce expertise across declarative tooling and code (Flow, Apex, APIs), with a track record of durable solutions rather than quick fixes that break under load
Fluent with automation and integration platforms (zapier, workato, blinkops, or similar), scripting (Python or JavaScript), and modern AI agent and LLM tooling applied to live workflows, including agentic development tools like Claude Code
You have built automation or AI into real revenue workflows such as routing, enrichment, Q2C, forecasting hygiene, or outreach, and you can speak to measurable impact
Strong discovery instincts. You can sit with a revenue leader, separate the stated problem from the real one, and scope work that moves a number
Pragmatic delivery bias. You ship iteratively, instrument what you build, and retire what is not working without ego
Credible across functions. You can hold a technical line with Engineering and translate it into business terms for GTM leaders in the same conversation
Energized by ambiguity and ownership. A blank page and a new function pull you forward rather than stall you.