Product Manager (Onsite, Lahore, PKR Salary)

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Requirements:

5+ years as a Senior or Principal Product Manager in B2B SaaS or AI/ML-powered products.
Outcome-driven roadmapping, data-driven decision-making (A/B testing, analytics), rapid prototyping, user research, and strong stakeholder management.
Solid conceptual understanding of IT solutions and AI/ML workflows; comfortable working with APIs, data models, and analytics tools.
Thrives in ambiguity, embraces intelligent failure, operates autonomously, and maintains a strong bias-for-action.
Experience in startups or hyper-growth environments.
Background in enterprise IT operations, ITSM/ITAM tools.
Bachelors or Masters degree in Computer Science, Engineering, or a related field.
Agile certifications such as CSPO or PMP.

Responsibilities:

Lead rapid discovery sprints, including user interviews, competitive analysis, and AI capability testing.
Define opportunities using clear problem statements, hypotheses, and impact assessments before solution design.
Maintain a centralized research library to enable shared learning across teams.
Deliver in short release cycles MVPs in weeks, not monthsusing wireframes, scripts, or low-code prototypes.
Use AI tools, pre-trained models, and no-code platforms to validate ideas quickly and efficiently.
Prioritize high-signal experiments and decisively deprioritize low-potential or slow-moving initiatives.
Make clean pivots when hypotheses fail, avoiding sunk-cost bias.
Monitor qualitative and quantitative feedback loops to drive fast course correction.
Communicate changes, pivots, and decisions transparently to align stakeholders.
Structure and support cross-functional squads around weekly OKRs tied to key metrics.
Implement tight researchbuildmeasure cycles to validate or discard hypotheses rapidly.
Ensure the team is focused on high-impact problems, not just easy builds.
Maintain a concise 1-pager outlining ongoing tests, rationale, and how teams can leverage the findings.
Run Show & Tell sessions each sprint focusing on learnings over outputs.
Coach junior PMs on hypothesis-driven product development and lean experimentation.

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