Product Manager
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.