Total 231 Manager information technology job vacancies in Malaysia

Job Description

We are seeking an experienced Test Manager to join our dynamic team in Singapore. In this pivotal role, you will lead and oversee all testing activities, ensuring the delivery of high-quality software products that meet our clients' expectations.

• Develop and implement comprehensive testing strategies, plans, and processes to ensure thorough testing coverage.
• Manage and mentor a team of skilled testers, providing guidance, training, and support to enhance their skills and performance.
• Collaborate closely with cross-functional teams, including developers, business analysts, and project managers, to align testing efforts with project requirements and timelines.
• Analyze and prioritize defects, ensuring timely resolution and effective communication with stakeholders.
• Continuously evaluate and improve testing processes, tools, and methodologies to enhance efficiency and effectiveness.
• Monitor testing progress, identify risks, and provide regular status updates to project stakeholders.
• Ensure compliance with industry standards, best practices, and internal quality assurance guidelines.

Qualifications

• Due to project sensitivity, we can only consider Singapore Citizen
• Proven experience as a Test Manager or a similar leadership role in software automation testing.
• Strong background in software testing methodologies, processes, and tools.
• Excellent analytical and problem-solving skills with a keen eye for detail.
• Proficient in test management tools (e.g., TestRail, qTest) and automation frameworks.
• Solid understanding of Agile/Scrum methodologies and their application in testing.
• Strong communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.
• Bachelor's degree in Computer Science, Engineering, or a related field.
• Certification in software testing (e.g., ISTQB, CSTE) is preferred.
• Domain expertise in the relevant industry is a plus.

App Monetization Marketing Manager (Greater China Region)

Hiring company is a global technology company specializing in digital advertising and mobile monetization solutions, partnering with app developers to drive scalable revenue growth across international markets.

THISIS A CONTRACT POSITION UNTIL 31 DEC 2026 SUBJECT TO CONVERSION TO FULL TIME OREXTENSION BASED ON PERFORMANCE & BUSINESS NEEDS.

Overview

We are looking for an experienced B2B marketing professional to drive growth and adoption of a mobile app monetization platform across APAC. This role focuses on developing and executing go-to-market strategies, localized campaigns, and partner-driven initiatives across key regional markets.

This is a hands-on role focused on localizing and executing global marketing programs across APAC, with a strong emphasis on Greater China markets

Key Responsibilities

• Lead and execute regional marketing strategy aligned with global objectives
• Plan and launch integrated marketing campaigns and programs
• Develop and localize content (presentations, playbooks, digital assets)
• Drive brand positioning and awareness across APAC markets
• Manage and execute industry events, conferences, and partner activations
• Analyze campaign performance and generate actionable insights
• Work cross-functionally with commercial, product, and regional teams
• Stay updated on industry trends, competitors, and market dynamics

Requirements

• 7+ years in B2B marketing (integrated, partner, or channel marketing)
• Strong experience in APAC markets (Greater China B2B exposure highly valuable)
• Fluent in Mandarin and English due to focus in Greater China Markets
• Proven ability to execute campaigns and manage multiple stakeholders
• Data-driven mindset with strong analytical skills
• Experience in ad-tech, monetization, mobile apps, or digital ecosystems preferred
• Strong project management and communication skills

Nice to Have

• Experience in mobile gaming, performance marketing, or digital advertising
• Familiarity with China’s digital ecosystem (e.g. local platforms and channels)

As the Head of Data Analytics at our leading AI company focused on self-developed multimodal large language models (LLMs), you will lead our data analytics team to drive end-to-end data strategy, governance, and insight generation across the entire lifecycle of our multimodal model R&D and commercialization. You will be responsible for building a robust AI-focused data analytics framework, leveraging advanced data science and machine learning techniques to transform raw multimodal data into actionable business and technical insights, and aligning data initiatives with the company's strategic growth goals. This role is critical to optimizing our multimodal model performance, accelerating product iteration, and enabling data-driven decision-making across all business functions.

Key Responsibilities

1. Develop and implement analytics techniques and applications to transform raw multimodal data (text, image, audio, video) into valuable insights using data programming languages and visualization tools.

2. Apply data mining, data modeling, NLP, and machine learning methods to extract and analyze information from large-scale structured and unstructured datasets.

3. Visualize, interpret, and present data insights and dynamic dashboards to technical and business stakeholders to support R&D and commercial decisions.

4. Lead, mentor, and scale the data analytics team; establish workflows, standards, and best practices for data governance, quality, and model evaluation.

5. Collaborate with AI research, engineering, and product teams to design data pipelines, evaluation metrics, and A/B testing frameworks for multimodal model improvement.

6. Oversee data collection, cleansing, labeling, and validation processes to ensure high-quality data assets for model training and fine-tuning.

7. Drive data-driven decision-making across the organization and align data initiatives with company AI strategy.

Qualifications

1. Master’s degree or higher in Engineering, Computer Science, Data Science, Information Technology, Statistics, Mathematics, or a related field.
2. Minimum 5+ years of professional experience in data science, data analytics, or a closely related role, with at least 2+ years in a leadership or managerial position.
3. Demonstrated experience working in AI, large language models, multimodal models, machine learning, or deep learning research/engineering environments.
4. Proficiency in data-oriented programming languages (Python, SQL), big data tools, and data visualization software.
5. Strong knowledge of machine learning, statistical analysis, data mining, NLP, and multimodal data processing.
6. Experience building and managing data teams, defining data strategies, and implementing data governance frameworks.
7. Excellent communication, presentation, and stakeholder management skills.

App Monetization Marketing Manager (Greater China Region)

Hiring company is a global technology company specializing in digital advertising and mobile monetization solutions, partnering with app developers to drive scalable revenue growth across international markets.

THISIS A CONTRACT POSITION UNTIL 31 DEC 2026 SUBJECT TO CONVERSION TO FULL TIME OREXTENSION BASED ON PERFORMANCE & BUSINESS NEEDS.

Overview

We are looking for an experienced B2B marketing professional to drive growth and adoption of a mobile app monetization platform across APAC. This role focuses on developing and executing go-to-market strategies, localized campaigns, and partner-driven initiatives across key regional markets.

This is a hands-on role focused on localizing and executing global marketing programs across APAC, with a strong emphasis on Greater China markets

Key Responsibilities

• Lead and execute regional marketing strategy aligned with global objectives
• Plan and launch integrated marketing campaigns and programs
• Develop and localize content (presentations, playbooks, digital assets)
• Drive brand positioning and awareness across APAC markets
• Manage and execute industry events, conferences, and partner activations
• Analyze campaign performance and generate actionable insights
• Work cross-functionally with commercial, product, and regional teams
• Stay updated on industry trends, competitors, and market dynamics

Requirements

• 7+ years in B2B marketing (integrated, partner, or channel marketing)
• Strong experience in APAC markets (Greater China B2B exposure highly valuable)
• Fluent in Mandarin and English due to focus in Greater China Markets
• Proven ability to execute campaigns and manage multiple stakeholders
• Data-driven mindset with strong analytical skills
• Experience in ad-tech, monetization, mobile apps, or digital ecosystems preferred
• Strong project management and communication skills

Nice to Have

• Experience in mobile gaming, performance marketing, or digital advertising
• Familiarity with China’s digital ecosystem (e.g. local platforms and channels)

Job Summary

Reporting to senior leadership, we are seeking an experienced Software Development Manager (AI-focused) to lead our AI and software engineering teams in building, deploying, and scaling production-grade, machine learning-driven multimodal AI solutions. This role oversees the end-to-end acquisition, development, and delivery of AI-centric software systems across all organizational units, ensuring solutions are high-quality, scalable, secure, and aligned with our business innovation and AI product roadmap. You will lead technical strategy, drive engineering excellence, and manage cross-functional initiatives to deliver industry-leading AI products.

Key Responsibilities

1. Lead and manage the AI software development team on a daily basis, setting clear goals, priorities, and performance expectations.
2. Plan project timelines, allocate resources effectively, and ensure on-time, on-budget delivery of AI software solutions and product initiatives.
3. Participate in system architecture design and key technical decisions for AI/ML systems, multimodal model deployment, and distributed AI platforms.
4. Drive continuous process improvements, including scaling Agile/Scrum, DevOps, MLOps, and CI/CD practices across the engineering organization.
5. Collaborate closely with product, design, QA, data science, and research teams to align technical delivery with product and business objectives.
6. Monitor project progress, quality, and risks proactively, implementing corrective actions to mitigate issues and ensure delivery excellence.
7. Recruit, mentor, and develop high-performing team members, fostering career growth and technical excellence within the engineering organization.
8. Cultivate a high-performing, inclusive, and positive team culture that prioritizes innovation, quality, and continuous learning.
9. Oversee the acquisition and development of AI software systems across all organizational units, ensuring consistency with technical standards and security best practices.
10. Monitor the results, performance, and quality of all AI software solutions and projects implemented within the organization, driving data-driven improvements.
11. Oversee the end-to-end development of Proof-of-Concept (PoC) initiatives and AI solutions, validating technical feasibility and business value for production scaling.
12. Provide deep technical expertise on software and platform feature development for AI systems, ensuring that appropriate security, compliance, and risk factors are fully addressed in all development work.

Qualifications

1. Master’s degree or higher in Computer Science, Information Technology, Programming & Systems Analysis, Science (Computer Studies), or a related engineering/technology faculty.
2. Experience Requirement: Minimum 5+ years of hands-on software development experience, with at least 2+ years of formal team management experience leading software engineering teams.
3. Technical Proficiency: Strong proficiency in mainstream programming languages (e.g., Python, Java, Go, C++) and modern software development tools, cloud platforms (AWS/GCP/Azure), and distributed systems.
4. AI/ML Expertise: Demonstrated experience building, deploying, and scaling AI/ML systems, large language models (LLMs), or multimodal AI solutions in a production environment.
5. System Architecture Expertise: Strong system design and architecture capabilities, with a proven track record of designing scalable, secure, and resilient AI software platforms.
6. Agile & DevOps Mastery: Deep familiarity with Agile methodologies (Scrum/Kanban), DevOps, MLOps, and CI/CD practices for enterprise software development.
7. Cross-Functional Leadership: Excellent communication, stakeholder management, and cross-functional collaboration skills to align technical and business teams.
8. Analytical & Problem-Solving Skills: Strong analytical, problem-solving, and decision-making abilities to resolve complex technical and operational challenges.
9. Preferred Qualifications: Experience with large-scale distributed systems, AI model deployment, cloud-native architectures, or enterprise AI product development is highly preferred.

Key Competencies

• Leadership and high-performing team management
• Deep technical breadth and depth in AI software development
• Results-driven, delivery-focused mindset
• Exceptional communication, coordination, and stakeholder management skills
• Strategic thinking and ability to align technical work with business goals

Job Summary

We are seeking a highly technical Platform Engineering Manager to lead the design, development, and continuous evolution of enterprise-grade cloud infrastructure, developer platforms, and large-scale distributed systems. This role will translate advanced research and technical requirements into highly scalable, reliable, and secure engineering solutions, lead a high-performing platform team, and drive the long-term technical strategy of the company’s core technology platforms.

Key Responsibilities

1. Lead, manage, and grow the platform engineering team in building, operating, and scaling cloud infrastructure, developer platforms, and mission-critical core systems.
2. Research, design, develop, test, and maintain computer systems, network software, system utilities, and platform-level components.
3. Analyze business and technical requirements, then design and implement software solutions based on computer science, engineering, and mathematical analysis principles.
4. Improve, optimize, and upgrade existing platforms to enhance system performance, stability, security, reliability, and scalability.
5. Establish and oversee software testing, validation, and quality assurance processes to ensure robust and production-ready systems.
6. Own end-to-end platform architecture design, including cloud-native, microservices, containerization, and distributed systems.
7. Drive and enforce engineering best practices including DevOps, SRE, CI/CD, infrastructure as code (IaC), and automation.
8. Monitor system health, performance, and reliability; identify bottlenecks and provide technical solutions to ensure stable and efficient operations.

Qualifications

1. PhD degree in Computer Science, Software Engineering, Electrical Engineering, or a closely related field (required).
2. 8+ years of professional experience in platform engineering, software engineering, systems engineering, or infrastructure development;
3. 3+ years of formal people management or leadership experience in a technology team.
4. Strong foundation in computer science including data structures, algorithms, operating systems, computer networks, and distributed systems.
5. Proficiency in at least one core programming language (e.g., Go, C++, Java, Python).
6. Deep expertise in system architecture, high-concurrency, high-availability, and large-scale distributed systems.
7. Hands-on experience with major cloud platforms (AWS, Azure, GCP) or hybrid/private cloud infrastructure.
8. Strong system performance tuning, troubleshooting, and problem-solving capabilities.
9. Experience in hardware-software integration is a strong advantage.
10. Excellent communication, leadership, and cross-functional collaboration skills.