The AI Product Manager defines product strategies, collaborates with engineering and data teams, and oversees AI product development and performance evaluation.
Responsibilities
- Define and execute product strategies and roadmaps for AI-powered products and features.
- Collaborate closely with Engineering, Data Science, Design, Risk, Compliance, and Business teams to deliver scalable AI solutions.
- Translate business requirements into clear product specifications, user stories, and technical requirements.
- Work with AI/ML teams on LLM applications, AI agents, automation tools, recommendation systems, or data intelligence products.
- Conduct market research, competitor analysis, and user feedback analysis to identify product opportunities.
- Prioritize product features based on business impact, user needs, and technical feasibility.
- Monitor product performance, user engagement, and operational metrics to drive continuous improvements.
- Coordinate product launches and support cross-functional execution across stakeholders.
Requirements
- Bachelor’s degree in Business, Computer Science, Engineering, Data Science, or related field.
- 2–3 years of experience in Product Management, preferably in AI, SaaS, fintech, or technology companies.
- Strong understanding of AI/ML concepts, LLMs, prompt engineering, or AI workflows.
- Experience working with cross-functional technical teams in agile development environments.
- Strong analytical thinking and problem-solving skills.
- Ability to communicate effectively with both technical and non-technical stakeholders.
- Familiarity with product management tools such as Jira, Confluence, Figma, or similar platforms.
- Excellent communication and project coordination skills.
Coins.ph Singapore, Singapore, SGP Office
Singapore, Singapore
Similar Jobs
Fintech • Financial Services • Cryptocurrency
Lead product planning and solution design for an AI-native engineering platform. Design AI agent capabilities for requirement analysis, code generation, test creation, environment orchestration, and knowledge accumulation. Integrate AI with code repositories, CI/CD, testing, deployment, and knowledge platforms; evaluate product effectiveness, gather user feedback, and drive scaling from pilot to broad organizational adoption.
Top Skills:
Ai AgentsCi/Cd PipelinesClaude CodeCode RepositoriesCodexContext EngineeringCopilotCursorDeployment EnvironmentsHuman-In-The-LoopKnowledge PlatformsTesting Platforms
Blockchain • Fintech • Software • Cryptocurrency • Metaverse
Lead AI-driven growth product strategy to improve acquisition, activation, retention, cross-sell, and churn reduction. Design viral loops and referral programs, use data and user insights to inform features, manage roadmaps, run experiments, and collaborate with marketing, operations, and engineering to optimize user funnels and drive scalable organic growth.
Blockchain • Fintech • Software • Cryptocurrency • Metaverse
Lead planning, design, delivery and promotion of a customer-service chatbot management platform. Use AI and big data to improve CS operations (corpus training, SOPs, assistant replies, summaries). Collaborate with engineering, UX, and CS teams. Monitor KPIs and user cases to drive product improvements.
Top Skills:
AIBig DataChatbotKnowledge Base
What you need to know about the Singapore Tech Scene
The digital revolution has driven a constant demand for tech professionals across industries like software development, data analytics and cybersecurity. In Singapore, one of the largest cities in Southeast Asia, the demand for tech talent is so high that the government continues to invest millions into programs designed to develop a talent pipeline directly from universities while also scaling efforts in pre-employment training and mid-career upskilling to expand and elevate its workforce.


