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Gong.io

AI-driven revenue intelligence from conversations

Lead Enterprise Revenue Architect - Customer Success

Account ManagementConfirmed live in the last 24 hours
Full-timeRemote in USARemote

About the Job

Requirements

  • At least 10 years of experience managing complex enterprise accounts with multiple stakeholders.
  • Track record of owning relationships with senior vice president and C-suite stakeholders and leading value and return-on-investment conversations.
  • Ability to leverage internal stakeholders, including Sales, Product, Support, Marketing, and executives, to drive customer-centric outcomes.
  • Communication, negotiation, and presentation skills.
  • Data-driven mindset focused on delivering measurable outcomes.

Responsibilities

  • Partner with senior go-to-market leaders to design and execute strategies that modernize revenue operations through Gong’s AI Operating System.
  • Map customers’ current processes to AI-driven workflows that translate into revenue outcomes.
  • Execute adoption initiatives that drive behavior change and embed Gong into daily team rhythms.
  • Use data-driven insights to quantify measurable business outcomes that demonstrate Gong’s return on investment and strategic value.
  • Own renewal strategy and execution, partnering with cross-functional teams on growth.
  • Partner with internal teams to ensure an exceptional customer experience throughout the customer journey.

About the Company

Gong.io

AI-driven revenue intelligence from conversations

Gong builds a revenue intelligence platform that analyzes every customer interaction to help sales teams win more deals. It records, transcribes, and analyzes calls, video meetings, emails, and chats to surface insights on deal health, sales tactics, and buyer/competitor trends. Using AI, it provides Deal Intelligence, People Intelligence, and Market Intelligence, flags risks, coaching opportunities, and next-best-action recommendations, and integrates with CRM, email, and collaboration tools. The goal is to turn conversations into data-driven actions to improve forecasting, coaching, and go-to-market decisions for mid-to-large enterprises.

Company size
1,001-5,000
Company stage
Series E
Total funding
$586M
Headquarters
San Francisco, CA
Founded
2015

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