Chief of Operations

RippleWorks Inc.; India; On-site; INR 2,000,000 - 3,000,000; Full time

Job summary

Adalat AI is hiring a Chief of Operations (COO) to oversee the deployment of AI solutions across India's judicial system. This pivotal role focuses on hiring and managing an operations team dedicated to collaborating with courts and judges, ensuring smooth technology adoption.

The ideal candidate will have over 7 years of operations management experience, excelling in scaling operations and coordinating with various stakeholders.

Qualifications

• 7+ years of experience in operations management or government project implementation.
• Proven experience in scaling large-scale field operations.
• Strong ability to hire and manage geographically distributed teams.

Responsibilities

• Lead and scale court deployment and training operations.
• Hire and supervise a national court operations team.
• Establish operational frameworks for training and onboarding.

Skills

Operations management

Strategy execution

Team management

Problem-solving

Process optimization

Job description

Adalat AI is seeking a Chief of Operations (COO) to lead and scale its court deployment, support,and training operations as we expand our AI-driven solutions across India's judicial system. This is a key leadership role focused on hiring, supervising, and managing an on-ground operations team responsible for working directly with courts, judges, court staff, and judicial registries to ensure seamless technology adoption.

The COO will be responsible for developing and overseeing a structured operational framework for training, onboarding, technical troubleshooting, and continuous feedback collection from courts.The ideal candidate is a strong executor and team builder who can drive complex implementation at scale while ensuring Adalat AIs mission of timely justice through technology translates into real-world impact.

Key Responsibilities

• Hiring & Supervising a National Court Operations Team
  • Build and manage an operations team responsible for working with courts, judges, andcourt staff on technology adoption.
  • Hire and oversee a ground force responsible for training and onboarding judges and courts on Adalat AIs tools.
  • Work with court registries to recruit, train, and supervise local tech representatives for deployment in remote courts.
  • Implement structured performance management and reporting systems for field teams.
• Develop and oversee a national implementation roadmap for scaling AI solutions across courts.
• Ensure seamless adoption of AI-powered tools such as real-time transcription and case flow management by courts.
• Manage relationships with High Courts, District Courts, and judicial administrators to drives mooth execution.
• Collaborate withproduct and engineering teams to align court needs with product updates
• Training & Capacity Building for Judges & Court Staff
  • Design and oversee training workshops and onboarding programs for judges, stenographers, and court staff.
  • Develop training materials tailored to different court roles and regional needs.
  • Ensure ground teams provide hands-on technical support to judicial users.
  • Organize regular feedback sessions and troubleshooting workshops to address user challenges
• Operations for Troubleshooting, Debugging & Feedback Loops
  • Set up and manage an operational system for handling troubleshooting, debugging, and user support requests from judges and courts.
  • Establish real-time feedback loops from courts and judicial users to inform product and process improvements.
  • Work with the tech team to ensure continuous product iteration based on user experience.
• Data-Driven Operational Efficiency & Scaling
  • Develop standardized processes, dashboards, and tracking systems for monitoring deployment efficiency.
  • Build an operations model that ensures scalable execution across different states and court types.
  • Analyze court usage data to identify areas for improvement and streamline service delivery.
• Internal Organizational Operations & Startup Growth
  • Establish structured internal processes for team coordination, reporting, and performance tracking across different functions.
  • Optimize workflows between product, engineering, legal, partnerships, and operations teams to improve execution speed.
  • Build and manage an operational playbook to support scaling from startup to growth-stage organization.
  • Oversee the implementation of internal tools, HR systems, and knowledge management frameworks to improve efficiency.
• Work closely with the Finance Lead to manage budgets, control operational costs, and ensure financial sustainability.
• Develop resource allocation strategies to ensure the most efficient use of funds for court deployments and training programs.
• Support fundraising and grant reporting by providing operational insights and impact metrics.
• Monitor compliance with contracts, government regulations, and procurement policies

Qualifications

• 7+ years of experience in operations management, strategy execution, or government project implementation.
• Proven experience in scaling large-scale field operations (preferably in legal, gov-tech, or operations-heavy projects).
• Strong ability to hire, train, and manage geographically distributed teams.
• Experience working with government agencies, courts, or judicial institutions is highly desirable.
• Excellent ability to coordinate between product, technology, and legal teams for execution.
• Strong problem-solving and process-optimization skills.
• Experience in startup operations, organizational scaling, and cross-functional management is a plus.

What You Will Achieve in a Year

• Hire and oversee a robust ground force for training and onboarding courts across India.
• Build and execute an operational model for real-time troubleshooting, debugging, and feedback collection from courts.
• Ensure AI-powered solutions are successfully deployed in 50% of Indias courts by 2025.
• Establish a structured, scalable training and support program for judges and court staff.
• Build and streamline internal operational processes to scale Adalat AI from a startup to a