Product Manager

Date PostedJuly 10, 2026LocationKuala LumpurCompanyHiredly XSalaryRM 5000 - 10000TypeFull-Time

Job Summary

As a Product Manager, you will support the end-to-end product lifecycle of SupplyOS by collaborating with cross-functional teams including Engineering, AI, and Sales. Your primary responsibility is to translate market insights and customer needs into well-defined product features for AI-powered enterprise software. This role focuses on driving business value through effective product discovery, delivery, and ongoing operational governance.

Responsibilities

  • Gather requirements and convert into PRDs and user stories
  • Prioritize product backlog and manage product roadmap
  • Collaborate with AI and engineering teams on feature delivery
  • Analyze customer feedback and conduct user research
  • Support commercial teams with demonstrations and GTM efforts

Required Skills

  • 1-3 years in Product Management or related field
  • Familiarity with Agile/Scrum methodologies
  • Knowledge of AI, LLMs, or Enterprise SaaS
  • Strong technical writing skills for PRDs
  • Bachelor's degree in Engineering, CS, or Business

Job Details

Position Overview As a Product Manager, you will support the end-to-end product lifecycle of SupplyOS, working closely with Product, Engineering, AI, Sales, and Customer teams. Your primary responsibility is to translate customer needs, market insights, and business priorities into well-defined product features that can be designed, developed, launched, and continuously improved. Key Responsibilities Product Discovery & Requirement Gathering - Gather customer feedback and business requirements from enterprise and public-sector clients. - Identify operational challenges within procurement, inventory, manufacturing, and logistics. - Convert business requirements into Product Requirement Documents (PRDs), user stories, and acceptance criteria. - Conduct competitor and market research on AI platforms and enterprise SaaS solutions. - Prioritize the product backlog based on business value and technical feasibility. Product Delivery & Cross-Functional Collaboration - Work closely with Forward Deployed Engineers (FDE), Platform Engineers, System & Performance Engineers, and AI Engineering teams. - Coordinate Agile ceremonies including sprint planning, backlog grooming, and feature releases. - Monitor feature performance using KPIs such as user adoption, retention, automation rate, and task completion. - Maintain accurate product documentation, including PRDs, release notes, and internal product guides. Customer Research & Market Insights - Participate in customer engagements alongside Sales and FDE teams. - Collect and analyze customer feedback. - Identify recurring business problems and product improvement opportunities. - Conduct user interviews, usability testing, and feature validation. - Support product positioning and messaging with Marketing and Commercial teams. Product Operations & Governance - Maintain the product roadmap and release schedules. - Support Quality Assurance (QA) and User Acceptance Testing (UAT). - Participate in product reviews, sprint retrospectives, and roadmap planning sessions. - Ensure product releases comply with enterprise security and governance standards. Commercial & Go-to-Market Support - Assist Sales and Account Management with solution scoping, product demonstrations, and client presentations. - Prepare product briefs and enablement materials. - Support proposal development by aligning product capabilities with customer use cases. - Feed customer deployment learnings back into future product enhancements. Requirements - 1–3 years of experience in Product Management, Business Analysis, Technology Delivery, Consulting, or a related field. - Exposure to AI, data platforms, analytics, or Enterprise SaaS products is strongly preferred. - Prior experience in startups, technology firms, or enterprise environments is an advantage. - Professional working proficiency in English. - Strong written communication skills, with the ability to produce clear Product Requirement Documents (PRDs), briefs, and release notes. - Strong interest in AI, Generative AI, Large Language Models (LLMs), and agentic AI workflow products. - Ability to translate customer conversations into structured product artifacts, including PRDs, user stories, and roadmap items. - Familiarity with Agile, Scrum, or hybrid product delivery methodologies. - Experience with product analytics tools is preferred. - Basic SQL knowledge is an advantage. - Bachelor's degree in Engineering, Computer Science, Business, or a related field. - Background in AI, Data Science, or Machine Learning is a plus.