Betty Leung

About Betty Leung

I work in revenue operations, focused on building systems that help go-to-market teams operate with more clarity and consistency.I started my career at JPMorgan, where I learned the importance of structure, process, and clear strategy when scaling something well. At Salesforce, I saw what a world-class sales organization looks like in practice and what it means to be a true partner to sales teams. That experience shaped how I think about the balance between strategy, execution, and the human side of selling.I later moved to monday.com to work in a more dynamic, growth-oriented environment—where I had the space to build, challenge assumptions, and rethink how things should work. Much of my work since then has centered on first-principles thinking: untangling complex processes and helping teams move from reactive motions to more intentional, repeatable growth.I’m a first-generation college graduate, and that perspective continues to shape how I approach problems, how I build, and how I show up. Before entering the corporate world, I started working at 14 and took on a variety of roles that taught me how to stay scrappy, adapt quickly, and figure things out. I’m most interested in making things simpler, more useful, and more aligned with how teams actually operate.

Experience

1. Senior Manager, Revenue Strategy & Operations

   monday.com

   Jan 2025 — Present · New York, NY, US

   Strategic and operational business partner to Monday.com’s largest segment (new business & account management), supporting a high-velocity sales motion and large account portfolios. Own forecasting, operating cadence, and performance visibility while translating complex data into actionable insights for Sales, Customer Success, and leadership.Built and scaled core GTM infrastructure, including:• NAM performance hub providing regional visibility across all sales teams, consolidating core KPIs and scoring performance against 10 standardized indicators to surface risk, prioritize coaching, and enable faster, data-driven decisions• Designed and built an AI agent for rules of engagement, territory, and compensation policy, improving efficiency and eliminating policy ambiguity• Centralized operating channel aligning Mid-Market leadership and frontline teams, standardizing communication, and materially reducing decision latency• End-to-end territory planning and rebalancing for North America, defining account DNA, scoring methodologies, and repeatable planning processes at scale

Education

• HarvardX

  Computer Science

  2020

• Binghamton University School of Management

  Bachelor’s Degree, Business Analytics

Skills

• Time Management
• Public Speaking
• Cision
• Teamwork
• Google Drive
• Management
• Data Entry
• Microsoft Office
• Microsoft Powerpoint
• Leadership
• Research
• Social Media
• Event Planning
• Communication
• Powerpoint
• Microsoft Excel
• Digitization
• Public Relations
• Microfilm
• Marketing
• Marketing Communications
• Microsoft Word
• Strategic Planning
• Customer Service
• Pos