Senior Product Manager

HR POD - Hiring Talent Globally

Job Location:

Lahore - Pakistan

Monthly Salary: Not Disclosed

Posted on: 12 hours ago

Vacancies: 1 Vacancy

Job Summary

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.

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. Ab...

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.