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Ivo

SaaS AI contract review and redlining

Senior Product Manager

Product ManagementPosted on Nov 11
Full-timeSan Francisco, CA, USA$130k - $180k /yrIn-person

About the Job

Requirements

  • At least 5 years of product management experience, preferably in B2B SaaS.
  • Experience turning a broad product goal into a strategy and delivering products.
  • Experience using customer research and imperfect data to make investment decisions.
  • Experience collaborating closely with engineers who take ownership of the product and want input into what gets built.
  • Ability to explain decisions clearly in writing and verbally to audiences and stakeholders with different perspectives and expertise.
  • Experience investigating prospective customers and problems to understand their jobs to be done, and developing innovative solutions.
  • Ability to take ownership of customer and business outcomes, follow through on commitments, and act when results fall short.

Responsibilities

  • Develop solutions to contract problems faced by sales, procurement, and finance teams.
  • Develop product strategy with clear investment choices, connecting those choices to Ivo’s broader vision, customer opportunity, and required work.
  • Collaborate with engineers and the growing design team.
  • Experiment with AI models and products, test their limitations, and work with engineering and design to turn useful capabilities into improved customer workflows.
  • Work with sales and customer-facing teams to understand buying decisions, test the value of proposed improvements, and learn from adoption.
  • Keep the team focused as new requests arrive, make tradeoffs explicit to complete important work, and remain flexible for critical customer needs.

Desired Qualifications

  • Experience in B2B SaaS product management.

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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