Product Manager (AI Studio)

Jobline Resources Pte Ltd; Singapore; Sur place; SGD 90 000 - 130 000; Plein temps

Résumé du poste

Jobline Resources Pte Ltd seeks an experienced AI product leader to own the Enterprise AI Studio portal roadmap. You will coordinate with engineering, cybersecurity, data and governance teams to define AI use cases, governance, and compliance while advancing GenAI capabilities through APIs and partnerships.

Responsibilities include prioritising features, measuring outcomes, and translating business needs into scalable AI-enabled solutions that deliver value for customers and digital

Qualifications

• Bachelor degree required in computing or business management.
• 3+ years in AI/GenAI product management or related fields.
• Knowledge of LLMs, RAG, prompt engineering and AI orchestration frameworks.

Responsabilités

• Manage portal development roadmap and prioritise timeline with release development team for Enterprise products.
• Enhance portal UI/UX through design thinking and benchmarking against global standards.
• Develop initiatives to enhance service orchestration and automation for multi-vendor solutions.
• Own the product roadmap, feature prioritisation and lifecycle management of the AI Studio platform.
• Drive the development of AI Studio capabilities, including GenAI applications and AI agents.
• Partner with business, engineering, cybersecurity, data and governance teams to identify and onboard AI use cases.
• Define and implement AI governance practices including security, privacy and model risk management.
• Evaluate and integrate AI technologies, LLMs and APIs to enhance AI Studio capabilities.
• Establish usage metrics, adoption KPIs and value-realisation frameworks.
• Support initiatives that empower AI to deliver advanced analytics and automation.
• Support monetisation strategies to provide XaaS solutions.
• Align development user stories and sprint goals with stakeholders.

Connaissances

AI product management

GenAI & LLMs

AI governance

APIs & SDKs

Prompt engineering

Formation

Bachelor degree in Computing or Business Management

Outils

API-first architectures

SDKs

AI platforms

Description du poste

Responsibilities

• Manage portal development roadmap and prioritise timeline with release development team for Enterprise products.
• Enhance portal UI/UX through design thinking methodologies and benchmarking against global standards, best practices, and API trends.
• Develop initiatives to enhance service orchestration and automation to support multi-vendor, multi-technology, multi-services solutioning and eco-systems.
• Own the product roadmap, feature prioritisation and lifecycle management of the AI Studio platform, ensuring alignment with business, customer and digital transformation objectives.
• Drive the development of AI Studio capabilities, including GenAI applications, AI agents, prompt management, agentic workflow automation, knowledge integration and self-service AI solutions.
• Partner with business, engineering, cybersecurity, data and governance teams to identify, evaluate and onboard AI use cases that drive productivity, operational efficiency and customer experience improvements.
• Define and implement AI governance practices, including responsible AI, security, compliance, privacy and model risk management requirements.
• Evaluate and integrate AI technologies, LLMs, AI APIs and ecosystem partners to enhance AI Studio capabilities and user experience.
• Establish usage metrics, adoption KPIs and value-realisation frameworks to measure AI Studio business outcomes and continuous improvement opportunities.
• Support initiatives that empower AI to deliver advanced analytics, predictive insights and automation for portal users.
• Support monetisation strategies to provide XaaS solutions for value generation.
• Align portal and AI Studio development user stories, product backlogs and sprint goals from key stakeholders.

Requirements

• Min Bachelor Degree in Computing or Business management
• More than 3 years’ experience in fields relating to AI/GenAI product management, AI platforms or digital products.
• Good understanding of Large Language Models (LLMs), AI agents, Retrieval-Augmented Generation (RAG), prompt engineering and AI orchestration frameworks.
• Understanding of Model Context Protocol (MCP) and agentic AI architectures, including integration of AI assistants and agents with enterprise systems, APIs, tools, knowledge bases and workflows to enable secure, scalable and interoperable AI solutions.
• Knowledge of AI governance, responsible AI, cybersecurity, compliance and data privacy requirements.
• Experience with API-first architectures, SDKs, AI model integration and ecosystem partnerships.
• Ability to translate business requirements into scalable AI-enabled solutions with measurable business outcomes.

Licence no: 12C6060