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

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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.

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