Senior Manager, GTM Engineering

About the Role:

We are looking for a Senior Manager to lead and grow our GTM Engineering function within Revenue Technology. This is a player/coach role for a leader who builds as much as they manage. You will set the technical direction for how AlphaSense uses automation and AI to accelerate revenue execution, while developing a team that partners directly with Sales, Marketing, and Customer Success to remove friction and ship practical solutions.

GTM Engineering is a new function at AlphaSense. As the founding manager, you will define how the team operates, what it ships, and how it scales. You will spend time in code, in workflows, and in front of frontline teams, not just in management forums. You will partner closely with Revenue Technology, Operations, Product, and Engineering to ensure the work lands at quality and scale.

This is a high impact role for someone who wants to shape a function from the ground up and treats AI and automation as a core craft.

Who You Are:

• 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