Senior Product Manager – AI Ticketing Solutions (Onsite, Lahore, PKR Salary) at HR POD Careers

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 skillsExperience 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.