Intapp
Intapp
1,001 – 5,000 Employees
H1B Visa SponsorConsultingLegalSaaS
Intapp develops AI-powered, cloud-based software for professional and financial services firms worldwide. Its products support accounting, consulting, investment banking, legal, private capital, and real estate organizations with tools for client relationship management, operational efficiency, compliance, collaboration, and deal management. Solutions such as Intapp DealCloud and Intapp Compliance use data intelligence, automation, Microsoft Azure integration, and security-focused technology to help more than 2,600 client firms manage complex workflows and pursue growth.

AI Engineer, Billing and Revenue - Hybrid New York

Deploy Intapp Celeste AI solutions that help law firms improve billing and revenue operations. Partner with finance leaders to configure AI agents across work-to-cash workflows.

Description

  • Advise law firm leaders, including CFOs, billing managers, and revenue operations professionals, on strategic AI opportunities
  • Select priority work-to-cash workflows and practice areas for Intapp Celeste
  • Lead implementation of Intapp Celeste AI agents, coworkers, and playbooks
  • Tailor deployments to billing guidelines, client agreements, and revenue policies
  • Convert time entry, prebill review, invoicing, collections, and revenue recognition processes into AI-ready workflows
  • Assess automation opportunities and determine where human review remains necessary
  • Promote adoption among billing and finance teams
  • Conduct product walkthroughs and training sessions
  • Partner with Industry Architects and Product leaders to shape product strategy

Requirements

  • Background in law firm billing or revenue operations, such as billing specialist or revenue analyst experience
  • Familiarity with the work-to-cash cycle, including client terms, billing exceptions, and the progression from time entry through collections
  • Practical experience applying AI to billing, revenue, or commercial processes
  • Experience using large language models for prebill review, narrative creation, exception management, or process design
  • Working knowledge of prompt engineering, AI workflow development, and agent-based tools
  • Ability to configure and refine AI implementations without coding
  • Ability to assess AI-generated results for accuracy and client impact
  • Strong communication skills for advising senior stakeholders and explaining complex concepts clearly
  • Demonstrated experience creating a knowledge resource, improving a process, developing training, or building a tool
  • Sound judgment when handling ambiguous, client-facing situations
  • Willingness to learn a fast-evolving product and market

Benefits

  • Opportunities for professional growth
  • Reimbursement for training and continuing education
  • Contemporary, open-plan offices
  • Complimentary meals
  • Fully supplied kitchen areas
  • Comprehensive wellness offerings
  • Flexible time-off policies
  • Benefits designed to support employees and their families
  • Family-formation and family-building assistance
  • Paid volunteer leave
  • Charitable donation matching

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