Product Management Intern

Icertis is the global leader in AI-powered Contract Intelligence, trusted by the world’s largest enterprises to manage risk, compliance, and revenue across the contract lifecycle. Our AI Platform is redefining how intelligent agents operate at enterprise scale—combining standardized execution with configurable business behaviour.

Agent Studio is a foundational capability within this platform, enabling enterprises to configure agent behaviour through no-code, governed controls while preserving reliability, auditability, and compliance.

Role Overview:
As a Product Management Intern, you will work closely with senior product managers, architects, and engineering teams to analyse enterprise contract workflows and define Agent Studio–driven use cases.
This role focuses on problem discovery, use case definition, and configuration design for AI-powered agents used in large-scale enterprise environments.
What You Will Gain:
Hands-on exposure to AI platform product management.
Experience working on enterprise-scale agent configuration problems.
Understanding of how standardized AI agents are productized for global enterprises.

Key Responsibilities:
Analyse real-world enterprise contract workflows and identify areas where variability challenges hardcoded automation.
Break down business problems into Agent Studio–configurable components, including:
Business rules and policy conditions
Template and clause selection logic
Governance and compliance constraints
Document use cases aligned to Agent Studio capabilities such as:
Business Rules & Policy Engine
Content and knowledge source configuration
Governance and compliance configuration

Create structured product artifacts including:
Use case briefs
Configuration and decision matrices
Workflow comparisons (current vs Agent Studio–enabled)
Collaborate with cross-functional teams to validate clarity, assumptions, and edge cases.
Support product reviews and roadmap discussions with structured analysis.

Required Qualifications:
Currently pursuing a bachelor's degree in engineering, Computer Science, Information Systems, or a related discipline. (Master’s degree is also fine)
Strong analytical and problem-structuring skills.
Ability to understand and document complex workflows clearly.
Interest in AI, enterprise software platforms, or workflow automation.
Strong written and verbal communication skills.
Preferred Qualifications:
Exposure to product management concepts (user stories, use cases, PRDs).
Familiarity with enterprise systems (CRM, ERP, CLM) or workflow tools.
Basic understanding of rule-based or configuration-driven systems.