Daraz PK-Product Manager-Customer Experience

Alibaba Group; Karachi Division; On-site; PKR 1,200,000 - 1,800,000; Full time

Job summary

Alibaba Group in Karachi seeks an experienced Product Manager to own the product lifecycle from concept to execution, working with business, tech, and operations teams. You will help plan roadmaps, leverage market feedback, and drive data-driven improvements across AI and customer experience initiatives.

The role requires 4+ years in product management or operations, strong Agile understanding, and the ability to manage multiple initiatives with effective stakeholder collaboration.

Qualifications

• Bachelor’s degree in Science, Engineering, Computing, AI or a related field (or equivalent practical experience).
• Minimum of 4 years of experience in product management or product operations, preferably with some experience in E-commerce, customer experience, or AI domains.
• Strong understanding of product development frameworks, Agile methodologies, and structured problem-solving techniques.
• Proven ability to analyze data, identify trends, and make data-driven decisions to optimize product performance.
• Exceptional stakeholder management and communication skills, with the ability to align diverse teams toward common goals.
• Experience with system integrations, third-party vendor management, and operational workflows.
• Strong command over Microsoft Excel, including complex formulas, pivot tables, and data analysis. Knowledge of basic programming languages such as SQL/Python is preferred.
• People management experience is preferred, with the ability to lead, coach, and develop team members while driving team performance and collaboration.

Responsibilities

• End-to-End Product Management: Lead the product lifecycle from concept to execution, ensuring alignment with business objectives and user needs.
• Product Roadmap: Assist in the business owner to plan & implement new ideas and features through market research & user feedback.
• Structured Problem-Solving: Identify and analyze complex business challenges, break them down into manageable components, and develop logical solutions.
• Cross-Functional Collaboration: Act as a bridge between business, technology, and operations teams, ensuring streamlined communication and execution.
• Data-Driven Decision Making: Leverage structured data analysis and insights to measure product performance, optimize workflows, and drive continuous improvements.
• Risk Management: Proactively identify potential risks, analyze impact, and develop structured mitigation plans.
• Project Management: Manage multiple initiatives in parallel, ensuring a structured and disciplined approach to execution.
• Issue Resolution: Manage and analyze CXP system bugs, elevate them to appropriate teams, and implement logical solutions for long-term stability.
• AI Evaluation Framework: Define technical & qualitative acceptance criteria for the model performance, including model accuracy, latency and precision, improving adoption rate of the AI product.
• ML/Product Ops: Participate in technical design discussions about product architecture, model limitations, training data needs, deployment pipelines, and scaling challenges while keeping the business team aligned.

Skills

Product management

Roadmapping

Structured problem-solving

Cross-functional collaboration

Data-driven decisions

Risk management

Project management

Issue resolution

AI evaluation framework

ML/Product ops

Data analysis

Stakeholder management

System integrations

Vendor management

Excel & data analysis

SQL / Python basics

People management

Education

Bachelor's degree in Science, Engineering, Computing, AI

Job description

Position Requirement

• End-to-End Product Management: Lead the product lifecycle from concept to execution, ensuring alignment with business objectives and user needs.


• Product Roadmap: Assist in the business owner to plan & implement new ideas and features through market research & user feedback.


• Structured Problem-Solving: Identify and analyze complex business challenges, break them down into manageable components, and develop logical solutions.


• Cross-Functional Collaboration: Act as a bridge between business, technology, and operations teams, ensuring streamlined communication and execution.


• Data-Driven Decision Making: Leverage structured data analysis and insights to measure product performance, optimize workflows, and drive continuous improvements.


• Risk Management: Proactively identify potential risks, analyze impact, and develop structured mitigation plans.


• Project Management: Manage multiple initiatives in parallel, ensuring a structured and disciplined approach to execution.


• Issue Resolution: Manage and analyze CXP system bugs, elevate them to appropriate teams, and implement logical solutions for long-term stability.


• AI Evaluation Framework: Define technical & qualitative acceptance criteria for the model performance, including model accuracy, latency and precision, improving adoption rate of the AI product.


• ML/Product Ops: Participate in technical design discussions about product architecture, model limitations, training data needs, deployment pipelines, and scaling challenges while keeping the business team aligned.

• Bachelor’s degree in Science, Engineering, Computing, AI or a related field (or equivalent practical experience).


• Minimum of 4 years of experience in product management or product operations, preferably with some experience in E-commerce, customer experience, or AI domains.


• Strong understanding of product development frameworks, Agile methodologies, and structured problem-solving techniques.


• Proven ability to analyze data, identify trends, and make data-driven decisions to optimize product performance.


• Exceptional stakeholder management and communication skills, with the ability to align diverse teams toward common goals.


• Experience with system integrations, third-party vendor management, and operational workflows.


• Strong command over Microsoft Excel, including complex formulas, pivot tables, and data analysis. Knowledge of basic programming languages such as SQL/Python is preferred.


• People management experience is preferred, with the ability to lead, coach, and develop team members while driving team performance and collaboration.