Senior Manager, GTM Engineering

About AlphaSense:  The world’s most sophisticated companies rely on AlphaSense to remove uncertainty from decision-making. With market intelligence and search built on proven AI, AlphaSense delivers insights that matter from content you can trust. Our universe of public and private content includes equity research, company filings, event transcripts, expert calls, news, trade journals, and clients’ own research content. The acquisition of Tegus by AlphaSense in 2024 advances our shared mission to empower professionals to make smarter decisions through AI-driven market intelligence. Together, AlphaSense and Tegus will accelerate growth, innovation, and content expansion, with complementary product and content capabilities that enable users to unearth even more comprehensive insights from thousands of content sets. Our platform is trusted by over 6,000 enterprise customers, including a majority of the S&P 500. Founded in 2011, AlphaSense is headquartered in New York City with more than 2,000 employees across the globe and offices in the U.S., U.K., Finland, India, Singapore, Canada, and Ireland. Come join us! 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 What You’ll Do:  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 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 accelerato