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Ivo

SaaS AI contract review and redlining

Enterprise Customer Success Manager

Customer SuccessConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USAIn-person

About the Job

Requirements

  • Three to six years of experience in a SaaS customer success or account management role.
  • A proven track record of working with mid-market to enterprise customers.
  • Strong understanding of customer success strategies, retention planning, and value-based selling techniques.

Responsibilities

  • Lead customers through onboarding and establish success plans tailored to their goals and requirements.
  • Serve as the primary contact for customer inquiries and provide timely, effective resolutions that support optimal product usage.
  • Take ownership of customer accounts to achieve long-term retention and satisfaction, overseeing all aspects of assigned customers’ experience.
  • Provide product demonstrations, lead training sessions, and guide customers through best practices so they become proficient in the solution.
  • Develop and present support articles, best practices, and customer documentation, and conduct regular business reviews.
  • Create and implement recovery and customer success plans to demonstrate product value and secure renewals and upsells.
  • Understand customers’ problems and environments to address their needs and deliver customer value.
  • Build relationships across the customer portfolio, engage customers regularly, manage escalations, and conduct regular meetings as a trusted advisor.
  • Drive user-level adoption of the platform throughout customer engagements to maximize usage.
  • Advocate internally for the most significant challenges customers face.

Desired Qualifications

  • Experience in legal technology or working with legal professionals.
  • Experience working in a startup environment.

About the Company

Ivo

SaaS AI contract review and redlining

Ivo provides a SaaS legal tech platform that automates and speeds up contract negotiations for in-house legal teams using generative AI. It reviews and redlines agreements by comparing them to company playbooks and historical contract data, flags deviations, suggests revisions, and can generate compromise language in the style of experienced attorneys. It differentiates itself by creating company-specific playbooks, offering a smart contract repository and an AI assistant, and focusing on enterprise-scale contract lifecycle needs. Its goal is to shorten deal cycles, improve legal efficiency, and help legal teams manage contracts reliably across the organization.

Company size
51-200
Company stage
Series B
Total funding
$83.2M
Headquarters
San Francisco, CA
Founded
2022

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