Product Manager – Digital/AI

Maxis; Kuala Lumpur; On-site; MYR 120,000 - 160,000; Full time

Job summary

A leading telecommunications company in Kuala Lumpur is seeking an experienced Product Manager to lead digital and AI solutions. You will manage the entire product lifecycle, translating business needs into actionable roadmaps while ensuring compliance with data governance. The ideal candidate should have 6–8 years in product management with a strong understanding of AI technologies and excellent communication skills. This role offers a dynamic work environment and opportunities to innovate.

Qualifications

• 6–8 years of experience in product management, with at least 3 years in digital or AI/ML product development.
• Strong understanding of AI technologies (machine learning, NLP, computer vision, GenAI) or digital platforms.
• Proven track record of delivering successful digital/AI products in a fast-paced environment.

Responsibilities

• Lead end-to-end product lifecycle management for digital and AI solutions.
• Translate business needs and market trends into product requirements.
• Collaborate with engineering, data science, design, and business stakeholders.

Skills

Stakeholder management

Communication

Problem-solving

Data-driven decision-making

Agile methodologies

Education

Bachelor’s degree in Computer Science, Engineering, Business

Master’s degree preferred

Job description

Are you ready to get ahead in your career?

• We want to empower you to turn your ambitions into achievements.
• We thrive in inclusiveness, diversity and embrace close collaborations for you to create impact for yourself and others.
• Together, we aim to bring the best of technology to help people, businesses and the nation to be ahead in a changing world.
• To realise our vision to become Malaysia’s leading converged solutions company, we are looking for a new talent to innovate and grow with us in a culture that values commitment, performance and possibilities.

Why does this job exist and why is it critical?

Key Responsibilities

• Lead end-to-end product lifecycle management for digital and AI solutions, from ideation to launch and continuous improvement.
• Translate business needs and market trends into product requirements and actionable roadmaps.
• Collaborate with engineering, data science, design, and business stakeholders to deliver AI-enabled products with strong customer impact.
• Define and monitor product success metrics (adoption, customer satisfaction, ROI).
• Conduct market research, competitive analysis, and user feedback sessions to shape product development.
• Ensure compliance with data governance, ethical AI practices, and regulatory requirements.
• Partner with internal stakeholders (e.g., SLT, IT, Operations, Marketing) to ensure alignment and smooth product rollout.
• Champion a customer‑centric and data‑driven culture within the product team.

Key Requirements

• Bachelor’s degree in Computer Science, Engineering, Business, or a related field (Master’s preferred).
• Minimum 6–8 years of experience in product management, with at least 3 years in digital or AI/ML product development.
• Strong understanding of AI technologies (machine learning, NLP, computer vision, GenAI) or digital platforms.
• Proven track record of delivering successful digital/AI products in a fast‑paced environment.
• Excellent stakeholder management, communication, and presentation skills.
• Strong analytical and problem‑solving skills with the ability to make data‑driven decisions.
• Experience in agile methodologies, product discovery, and user experience design.

What’s next?

• Once you’ve applied online, our team will carefully review your application. Due to a high volume of applications, we appreciate your patience to allow for a fair and timely review process.
• Should you be shortlisted for the role, we will send you an invitation via email for a digital interview. You can also check on your application status by logging into your candidate account.

Maxis values diverse voices & people. We hire and reward our employees based on capability & performance — regardless of ethnicity, gender, age, education, religion, nationality or physical ability.