AI Product Manager [CCP for ICT Professionals]

ROMULUS DIGITAL PTE. LTD.; Singapore; Hybrid; SGD 120,000 - 180,000; Full time

Job summary

ROMULUS DIGITAL PTE. LTD. seeks an AI Product Manager to lead a modular business operations platform for SMEs, associations, and community organisations in Singapore.

You will collaborate with engineers, UX designers, and data/AI specialists to translate business needs into AI-enabled features, define roadmaps, and drive adoption while ensuring privacy and responsible AI principles.

Qualifications

• 6–8 years of experience in business development, business transformation, digital solutions, consulting, product-related, or similar customer-facing roles.
• Strong understanding of business processes and how organisations transition from manual or fragmented workflows to more structured digital solutions.
• Experience engaging customers and stakeholders to understand business requirements and identify improvement opportunities.
• Strong interest in developing competencies in product management, AI-enabled solutions, and data-driven product development.
• Ability to translate business challenges into structured product requirements and practical digital solutions.
• Strong communication, analytical, stakeholder management, and problem-solving skills.
• Comfortable working with cross-functional teams including engineering, UX, sales, and business stakeholders.
• Experience with SaaS, enterprise software, digital transformation, or AI-related projects will be advantageous.

Responsibilities

• Define and maintain the product roadmap, prioritising features based on customer needs, business value, and opportunities for AI-enabled automation.
• Conduct customer and stakeholder discovery to identify workflow challenges and translate them into product requirements and AI use cases.
• Define functional requirements, user journeys, acceptance criteria, and expected outcomes for new product and AI-enabled features.
• Work closely with software engineers, UX designers, and data/AI specialists to design, develop, test, and release product enhancements.
• Evaluate opportunities to apply AI capabilities such as intelligent recommendations, automation, content generation, information extraction, and decision support.
• Support testing and validation of AI-enabled features, including usability, output quality, business relevance, and operational effectiveness.
• Monitor product usage, customer feedback, and relevant product metrics to identify opportunities for continuous improvement.
• Coordinate product releases and adoption activities to ensure new capabilities are introduced effectively to customers.
• Contribute to product pricing, packaging, positioning, demonstrations, and go-to-market activities.
• Support customer-facing and sales teams by providing product expertise during solution discussions and demonstrations.
• Ensure product development considers appropriate data privacy, security, governance, and responsible AI principles.

Job description

Location: Singapore

Job Type: Full-time / Contract

Job Description

The AI Product Manager will lead the development and evolution of a modular business operations platform serving SMEs, associations, and community organisations. The role focuses on identifying practical opportunities to applyAI and digital technologies across recruitment, HR, client/community management, procurement, and operational workflows.

Key Responsibilities

• Define and maintain the product roadmap, prioritising features based on customer needs, business value, and opportunities for AI-enabled automation.
• Conduct customer and stakeholder discovery to identify workflow challenges and translate them into product requirements and AI use cases.
• Define functional requirements, user journeys, acceptance criteria, and expected outcomes for new product andAI-enabled features.
• Work closely with software engineers, UX designers, and data/AI specialists to design, develop, test, and release product enhancements.
• Evaluate opportunities to applyAI capabilities such as intelligent recommendations, automation, content generation, information extraction, and decision support.
• Support testing and validation of AI-enabled features, including usability, output quality, business relevance, and operational effectiveness.
• Monitor product usage, customer feedback, and relevant product metrics to identify opportunities for continuous improvement.
• Coordinate product releases and adoption activities to ensure new capabilities are introduced effectively to customers.
• Contribute to product pricing, packaging, positioning, demonstrations, and go-to-market activities.
• Support customer-facing and sales teams by providing product expertise during solution discussions and demonstrations.
• Ensure product development considers appropriate data privacy, security, governance, and responsible AI principles.

Requirements

• 6–8 years of experience in business development, business transformation, digital solutions, consulting, product-related, or similar customer-facing roles.
• Strong understanding of business processes and how organisations transition from manual or fragmented workflows to more structured digital solutions.
• Experience engaging customers and stakeholders to understand business requirements and identify improvement opportunities.
• Strong interest in developing competencies in product management, AI-enabled solutions, and data-driven product development.
• Ability to translate business challenges into structured product requirements and practical digital solutions.
• Strong communication, analytical, stakeholder management, and problem-solving skills.
• Comfortable working with cross-functional teams including engineering, UX, sales, and business stakeholders.
• Experience with SaaS, enterprise software, digital transformation, or AI-related projects will be advantageous.

Key Development Areas

The role will require structured development in areas including:

• AI product management and AI use-case identification
• Product roadmap and lifecycle management
• Product discovery and requirements definition
• Data and AI concepts for business applications
• AI feature testing and evaluation
• Product analytics and adoption measurement
• Responsible AI, data privacy, and governance
• Agile product development and cross-functional delivery