Gong is the pioneer of the Revenue Intelligence category, a new wave of software that uses AI to give sales teams unprecedented visibility into their customer conversations. The platform automatically captures and analyzes every customer interaction — calls, emails, and web conferences — to surface critical insights that can help sales reps close more deals. Gong's patented technology understands the context of conversations, identifying topics, action items, and key metrics without any human intervention. This allows sales leaders to understand what's happening on the front lines, replicate the success of their top performers, and give targeted coaching to the rest of the team. Why work at Gong? The company is on a mission to transform the sales profession from an art to a science. Employees get to work on a cutting-edge product that is defining a new software category. The company has a strong culture of transparency and ownership, with a focus on data-driven decision-making. Gong's tech stack includes React, Node.js, Python, and various AWS services. The company is experiencing hyper-growth, having been named to the Forbes Cloud 100 list multiple times. Gong has raised over $584 million in funding from top-tier investors like Sequoia, Accel, and Salesforce Ventures. The work environment is fast-paced and collaborative, with a strong emphasis on learning and development. Gongsters, as employees are called, are passionate about their work and are driven to make an impact. Those who thrive at Gong are intellectually curious, data-driven, and have a strong bias for action. They are not afraid to challenge the status quo and are always looking for ways to improve.
Founded
2015
Employees
1001-5000
Valuation
$7.25B / Series E
Work Model
Hybrid
The interview process at Gong typically consists of a recruiter screen, a hiring manager interview, and a series of technical and behavioral interviews with team members. The process is designed to be challenging but fair, with a focus on assessing a candidate's skills and cultural fit. Candidates are encouraged to be prepared to discuss their past experiences in detail and to ask thoughtful questions.
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