Senior Manager, GTM Engineering

AlphaSense
CA$115,000 - CA$175,000Hybrid

About The Position

AlphaSense is seeking a Senior Manager to lead and grow its GTM Engineering function within Revenue Technology. This is a player/coach role where the individual will set the technical direction for using automation and AI to accelerate revenue execution, while developing a team that partners with Sales, Marketing, and Customer Success to remove friction and deliver practical solutions. As the founding manager of this new function, the role involves defining its operations, deliverables, and scaling strategy. The position requires hands-on involvement with code, workflows, and frontline teams, in addition to management responsibilities. The Senior Manager will collaborate closely with Revenue Technology, Operations, Product, and Engineering to ensure high-quality and scalable outcomes. This is a high-impact role for someone passionate about shaping a function from its inception and skilled in AI and automation.

Requirements

  • Senior practitioner with 7+ years in revenue operations, Salesforce development, or technical GTM roles
  • 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
  • Experience building automation or AI into real revenue workflows such as routing, enrichment, Q2C, forecasting hygiene, or outreach, and ability to speak to measurable impact
  • Strong discovery instincts; ability to sit with a revenue leader, separate the stated problem from the real one, and scope work that moves a number
  • Pragmatic delivery bias; ability to ship iteratively, instrument what is built, and retire what is not working without ego
  • Credible across functions; ability to hold a technical line with Engineering and translate it into business terms for GTM leaders
  • Energized by ambiguity and ownership; comfortable with a blank page and a new function

Responsibilities

  • Lead and Build the GTM Engineering Function
  • 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
  • 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

Benefits

  • Equity
  • Generous benefits program
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