Temus - AI Product Manager

Singapore1w ago

In Office APAC Artificial Intelligence Software Product Manager Stakeholder Management

Requirements

• Experience in Product Management, Product Ownership, digital transformation, technology consulting, or managed services, with responsibility for driving technology-enabled initiatives. • Strong experience developing business cases, product or transformation roadmaps, and value realization frameworks. • Demonstrated ability to translate business requirements into technology solutions and measurable outcomes. • Experience working with engineering and delivery teams to bring AI, data, automation, or digital products from concept through production and adoption. • Strong stakeholder management skills, with experience engaging and influencing senior business leaders and client stakeholders. • Understanding of Generative AI, Agentic AI, AI agents, intelligent automation, and AI-enabled workflows. • Familiarity with product commercialization, pricing, service catalogue development, or go-to-market activities. • Temus is an equal opportunities employer. We welcome applications from all. We do not discriminate by race, religion, belief, ethnicity, origin, disability, age, partnership status, sexual orientation, or gender identity. • We see the diversity of our team as a strategic advantage, and we work actively to maintain it. • By applying for this role, you have read and acknowledge the data privacy statement via this link - temus.com/job-applicant-data-protection/

Responsibilities

• Define the product vision, strategy, roadmap, and priorities for AI-enabled products and services. • Identify and evaluate opportunities where AI can improve business processes, operational efficiency, customer experience, or service delivery. • Translate business challenges and user needs into clear product requirements, AI use cases, value propositions, and implementation roadmaps. • Develop business cases and quantify the expected value and impact of proposed AI initiatives. • Work closely with AI engineering, solution architecture, delivery, sales, and business teams to take solutions from ideation through development, deployment, and adoption. • Engage senior stakeholders and clients to understand priorities, align expectations, and drive product adoption. • Define and monitor product success metrics, including productivity improvement, cost savings, turnaround time, service quality, adoption, and business impact. • Support the development of commercial models, service offerings, and go-to-market strategies for AI-enabled solutions. • Stay current with developments in Generative AI, Agentic AI, intelligent automation, and enterprise technology to identify opportunities for new products and capabilities.