Icertis
Website:
icertis.com
Job details:
Experience
8–12 years in Product Management
Experience in at least 2 of the following areas (with demonstrated product ownership):
AI/ML or LLM-based products, including copilot-style or agent-driven experiences
Enterprise SaaS platforms
Search, data, or workflow systems
Core Skills
Strong problem structuring and analytical thinking.
Solid understanding of:
AI/LLM product patterns (search, reasoning, summarization)
Designing copilot and agent-based systems (assist + automate)
Agentic AI patterns — tool-use, planning loops, multi-agent coordination, and autonomous execution
System trade-offs in distributed or data-heavy environments
Familiarity with:
Multi-step reasoning workflows and orchestration patterns
Human-in-the-loop vs autonomous execution models
Designing for trust, observability, and failure handling in AI systems
Building scalable, multi-tenant platform systems with reusable components and extensible APIs
Ability to:
Operate at both system and feature level
Write clear, structured product documentation
Work hands-on with engineering teams on architecture and scale decisions
Operating Style
High ownership, strong execution focus
Comfortable navigating ambiguity and evolving requirements
Influences without authority; drives outcomes independently
Success in This Role
Takes ownership of critical product areas end-to-end
Brings clarity to ambiguous problems and drives execution
Builds intuitive copilot experiences and reliable agentic workflows
Designs scalable systems that become the foundation for multiple product capabilities
Improves product quality across usability, trust, and impact
Enables systems that not only answer questions—but plan, act, and complete meaningful tasks autonomously
About Us
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