Associate Product Manager - AI/ML Product

Brickstech

Lahore

On-site

PKR 2,000,000 - 4,200,000

Full time

7 days ago

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Job summary

Brickstech seeks a Senior Machine Learning Engineer - AI/Agentic System to drive product strategy from concept to delivery. You will translate business needs into user stories and work with Engineering, Design, Operations, and Sales to ensure timely releases.

The role demands strong analytical skills, hands-on Agile experience, and the ability to validate ideas with customer research and KPIs while coordinating testing, rollouts, and post-launch monitoring.

Qualifications

Bachelor's degree in Business, Computer Science, Engineering, Economics, or a related field.
1–2 years of experience in Product Management, Business Analysis, Product Operations, or a similar role.
Strong understanding of product development and lifecycle management.
Hands-on experience with Agile/Scrum methodologies.
Proficiency in Excel/Google Sheets and presentation tools.
Familiarity with Jira, Confluence, Figma, Mixpanel/GA, or similar product tools.

Responsibilities

Support Product Managers in managing the end-to-end product development lifecycle.
Conduct market research, competitor analysis, customer research, and data analysis to identify product opportunities.
Gather and analyze customer feedback to identify pain points and improvement areas.
Translate business and customer requirements into clear product requirements, user stories, and acceptance criteria.
Work closely with Engineering, Design, Operations, Sales, Finance, and other stakeholders to ensure timely product delivery.
Support sprint planning, backlog grooming, sprint reviews, and other Agile/Scrum ceremonies.
Prioritize product features and enhancements based on customer value, business impact, and technical feasibility.
Monitor product KPIs and user behavior to evaluate product performance and identify opportunities for optimization.
Prepare product documentation, business cases, presentations, and reports for stakeholders and management.
Coordinate UAT, product testing, feature rollouts, and post-launch monitoring.
Conduct surveys and structured customer research to validate product ideas and proposed features.
Work with cross-functional teams to identify operational challenges and develop technology-enabled solutions.
Track product issues, dependencies, risks, and timelines to ensure successful execution.
Continuously evaluate existing products and recommend improvements based on data, customer feedback, and market trends.