Senior Product Manager - AI Ticketing Solutions (Onsite, Lahore, PKR Salary)

Requirements:

• Degree in Computer Science, AI, or a technical-related field.
• 4-7 years of PM experience, including at a Senior level in Business SaaS, Business workflows/automations, ITAM/ITSM, or AI-powered products.
• Demonstrated ability to build plans composed of multiple engines, services, or components. 
• Ability to break down ambiguous problems into well-structured workflows and systems.
• Conceptual grasp of IT solutions and AI/ML workflows; comfortable engaging with APIs, data models, and analytics tools.
• Thrives on ambiguity, loves technology, goal driven (owns the outcome), data-driven, customer obsession/research, bias toward action.
• Excellent communication, collaboration, and leadership skills
• Experience building Agentic AI systems or ITAM/ITSM systems, startup or hyper-growth experience.

Responsibilities:

• Define how LLMs, tools, agents, and knowledge systems work together to power an ITSM CoPilot.
• Own the model for autonomous resolution, including intent detection, agent orchestration, guardrails, knowledge integration, and human escalation.
• Establish principles for safety, accountability, and predictable agent behavior.
• Run rapid discovery cycles using user interviews, workflow observation, competitive research, and AI capability testing.
  Document problem statements, hypotheses, and impact sizing before solutioning.
• Translate complex IT workflows (onboarding, troubleshooting, ticket resolution) into structured sequences where humans, systems, and AI agents collaborate.
• Deliver in short cycles, produce MVPs, wireframes, scripts, or low-code demos within weeks.
• Use AI tools, pre-trained models, and no-code stacks to validate ideas quickly.
• Design research, build measure loops to validate or discard hypotheses.
• Monitor qualitative and quantitative feedback to support fast course corrections.
• Make directional bets, pivot quickly when hypotheses fail, and communicate changes transparently.
• Lead a cross-functional team around monthly OKRs aligned with the North-Star metric.
• Ensure the team focuses on high-impact problems rather than easy tasks.
• Provide clear monthly summaries covering direction, risks, experiments, learnings, and next-sprint plans.
• Coach PMs on hypothesis-led decision-making and ownership of outcomes.