Product Manager - Ticketing & IT Solutions (Onsite, Lahore, PKR Salary)

Requirements:

• Degree in Computer Science, AI, IT, or related technical field.
• 2-4 years of PM experience, including Business SaaS or Business workflows/automations products.
• Ability to translate ambiguous problems into well-structured workflows, solutions, and shipped features.
• Strong attention to detail, workflow logic, edge cases, and customer feedback.Familiar with APIs, data models, systems design, and workflows/automations.
• Bias toward action, thrives in ambiguity, loves technology, owns the outcome, hungry to learn.
• Excellent communication & collaboration skills.
• Experience with Ticketing/ITSM Systems or IT Systems, AI/Copilot workflows, or fast-paced work environments.

Responsibilities:

• Build core ticketing workflows (creation, routing, assignment, SLAs, collisions, approvals, lifecycle stages) with a strong focus on usability, edge cases, intelligence, and productivity.
• Translate ambiguous requirements into clear product specs and deliverables in close collaboration with engineering.
• Prioritize foundational gaps and define the path from MVP to a complete ITSM ticketing system.
• Work with senior PMs to integrate core ticketing workflows with AI copilots and autonomous agents.
• Participate in testing and evaluating AI-driven features (intent recognition, suggested actions, automated resolution).
• Ensure all AI features remain intuitive, safe, and predictable for IT teams.
• Conduct user interviews, shadow workflows, and analyze pain points to identify unmet needs and delight factors, not just feature requests.
• Document real problems, hypotheses, and opportunities before proposing solutions.
• Study competitive tools to identify market patterns and opportunities for differentiation.
• Ship in short cycles (MVPs in weeks), validating ideas quickly through wireframes, prototypes, AI-driven drafts, and early customer feedback.
• Collaborate closely with engineering to experiment, refine, and iterate without compromising quality.
• Monitor qualitative and quantitative feedback loops to enable fast course corrections.
• Maintain clear product briefs, tickets, and success metrics for each feature.