Ramp

Product Operations Specialist, AI and Knowledge Systems

Ramp

full-time

Posted on:

Origin:  • 🇺🇸 United States • California, New York

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Salary

💰 $94,600 - $157,100 per year

Job Level

Mid-LevelSenior

Tech Stack

CloudJavaPythonReact

About the role

  • Own Knowledge Management at Ramp to ensure sales, success, and support teams can accurately pitch, configure, and unblock customers
  • Own critical inputs to Ramp's customer and operator-facing AI products and tooling, ensuring accuracy and ease of development
  • Design systems and processes to organize and surface product knowledge, and build AI systems that scan knowledge sources to spot and remediate conflicts or errors
  • Build and upkeep centralized knowledge repositories; establish taxonomy, metadata, version-control, and governance standards
  • Conduct audits of existing content, capture institutional and engineered knowledge, and continually improve the tools
  • Evangelize knowledge management best practices to internal teams and generate new information and tools
  • Define KPIs (adoption, search effectiveness, usage metrics) and hold teams accountable to high standards
  • Collaborate closely with Product Managers, Product Operators, Product Marketing, Customer Support, and Learning & Development
  • Proactively identify content gaps, optimize searchability, and ensure consistency across all documentation

Requirements

  • Minimum 3 years of experience
  • Experience delivering projects around system architecture, design thinking, or operational analytics
  • Cross-functional know-how with experience managing large-scale projects that span many teams
  • Extensive experience building new operational processes from start to finish with measurable results
  • Ability to work in undefined spaces and think from first principles
  • Strong investigative and critical thinking skills
  • Effective and clear communicator with solid technical writing skills
  • Deep user of modern AI systems to execute on processes, solve problems, and more
  • [Preferred] Academic or professional experience with information systems/library science, knowledge management, or operations research
  • Experience with Retool (nice to have)
  • Technical programming experience (Python, Java, React) (nice to have)