Key Responsibilities:

• Establish product roadmaps and plan features for SaaS-based Warehouse Management Systems (WMS), Manufacturing Execution Systems (MES), and Material Requirements Planning (MRP).
• Analyze real-world pain points from manufacturing/logistics sites and translate them into scalable software solutions.
• Optimize system-to-system data flows and onsite data integration.

 

Preferred Qualifications:

• Strongly Preferred: Direct experience in planning or deploying at least one of the following systems: WMS, MES, or MRP.
• Deep understanding of manufacturing, supply chain management (SCM), and logistics industry structures.
• Experience integrating hardware (barcode scanners, PDAs, etc.) or legacy systems (ERP, etc.) with software platforms.

• Minimum 3+ years of experience in SaaS product management/ownership (Preferred: 3–5 years for Middle / 6+ years for Senior).
• Deep understanding of SaaS products (B2B/Enterprise) and subscription-based business models.
• Proven ability to translate complex customer requirements and business processes into clear product documentation (PRDs, user stories, wireframes).
• Data-driven mindset with the ability to define problems, track metrics, and strategically prioritize the product backlog.
• Excellent communication and leadership skills to align and collaborate with cross-functional teams.

 

Soft Skills & Mindset

• Ownership & Initiative: A self-starter who can independently drive the entire product lifecycle—from problem discovery to solution delivery and post-launch validation.
• Systemic & Logical Thinking: Ability to dissect chaotic real-world operations and break them down into standardized, intuitive SaaS features.
• Agility & Resilience: Comfortable in a fast-paced, evolving environment, adapting quickly to changes and product iteration cycles.

 

Preferred Qualifications (Common)

• Experience serving as a PO/PM within Agile/Scrum development methodologies.
• Proficiency in product management and collaboration tools (Jira, Confluence, Figma, etc.).
• Familiarity with data analysis tools (SQL, Tableau, Google Analytics, etc.).

 

(Please be noted that only selected candidates will be contacted via phone)