Lead Enterprise Revenue Architect

Gong Gong · Enterprise · Remote · Customer Success Managers

Lead Enterprise Revenue Architects at Gong are strategic partners to the largest customers, focused on driving revenue transformation from Gong’s AI Operating System. They guide executive stakeholders and operational teams to drive revenue with Gong by architecting workflows, accelerating adoption, and realizing business results across the entire revenue lifecycle.

What you'd actually do

  1. Revenue Transformation Strategy: Partner with senior GTM leaders to design and execute strategies that modernize their revenue operations through Gong’s AIOS
  2. Workflow Architecture: Map current-state customer processes to AI-driven workflows that translate to revenue outcomes
  3. Adoption and Change Management: Execute adoption initiatives that drive behavior change and embed Gong into daily team rhythms
  4. Value Realization: Use data-driven insights to quantify measurable business outcomes that demonstrate Gong’s ROI and strategic value
  5. Renewal and Expansion Management: Own the renewal strategy and execution, partnering with cross-functional teams on growth

Skills

Required

  • 10+ years proven experience in managing complex enterprise accounts with multiple stakeholders
  • Track record owning relationships with senior (VP and C-suite) stakeholders and owning value and ROI conversations
  • Data-driven mindset with a focus on delivering measurable outcomes.

Nice to have

  • Passion for driving customer centricity by leveraging internal stakeholders such as Sales, Product, Support, Marketing and executives
  • Excellent communication, negotiation, and presentation skills.
  • Passion for driving customer outcomes and contributing to a high performing and accountable work culture
  • Our RAs are self-starters who excel in high paced environments and thrive in change and ambiguity. Our top performers have a growth mindset and pride themselves in being coachable. We are a team that values collaboration and winning together, enjoying the ride, and challenging conventional wisdom.

What the JD emphasized

  • AI Operating System
  • AI-driven workflows