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Level AI

Optimizes call center data with AI

Enterprise Account Executive

Account ExecutiveConfirmed live in the last 24 hours
Full-timeRemote in USANo salary listed

About the Job

Requirements

  • At least 5 years of enterprise-level SaaS software sales experience.
  • Experience negotiating, structuring, and executing complex enterprise-level agreements.
  • Prior experience leading cross-functional teams through large deal close processes.
  • Ability to articulate contractual, technical, and financial value points to customers, including executives.
  • Excellent communication and presentation skills, including experience presenting to C-level executives.
  • Ability to travel.

Responsibilities

  • Own the sales experience while building and managing relationships with key decision-makers and executives at Fortune 1000 companies.
  • Hold discovery calls and give prospects product demonstrations.
  • Prospect for new clients; design product presentations and business cases; develop and deliver proposals; negotiate and close contracts.
  • Partner closely with Product, Marketing, and Engineering to deliver an exceptional customer experience.
  • Develop and deliver on-site and virtual product demonstrations.
  • Represent the product to customers and at field events such as conferences and seminars.
  • Scope, manage, and execute customer pilots and proofs of concept.
  • Communicate and collaborate with customers and partners to understand their business needs and provide solutions to meet their specific requirements.

Desired Qualifications

  • Proficiency in using hosted contact center applications.

About the Company

Level AI

Optimizes call center data with AI

Level AI provides software that improves customer experience and operational efficiency in the BPO sector by integrating human and machine intelligence. Its platform unifies call center data from multiple sources and uses intelligent automation and machine learning to automate tasks, guide decisions, and improve interactions, all delivered through a subscription model. It differentiates itself by offering end-to-end data integration across silos and blending human expertise with ML to boost sales conversions and QA productivity in call centers. The goal is to help BPO providers deliver better customer experiences while making operations more efficient and cost-effective.

Company size
201-500
Company stage
Acquired
Total funding
$74.4M
Headquarters
Mountain View, CA
Founded
2018

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