Senior Manager, GTM Engineering

Required Qualifications

• 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
• 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