Salary
≈ $22k – $48k per year (Estimated)
Location
In office (Malaysia)
Seniority
Senior · 6+ years exp
Employment
Full-Time
Confirmed on the employer's own hiring board on Oct 17, 2026. First seen by Alion on Apr 9, 2026. Maxis scores B on the Alion truth index.
Overview
Company
Impact
Profile match
Maxis is one of Malaysia's largest mobile operators and a major provider of fibre broadband and enterprise connectivity. It sells converged consumer packages alongside cloud, internet of things and managed ICT services for business. The company is listed on Bursa Malaysia and operates a nationwide network.
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?
To turn emerging AI capabilities into real, scalable and commercially viable products for Maxis customers.
You will identify customer problems and market opportunities, validate what is worth building, and determine the best route to market, whether through internal development, technology partnerships or integration of external AI capabilities.
This role sits at the intersection of product, technology, partners and commercialisation.
What You’ll Do
Product Strategy & Discovery
Own the product vision, roadmap and lifecycle for digital and AI-enabled products.
Identify customer problems, priority use cases and market opportunities through customer research, market analysis and experimentation.
Develop business cases and assess opportunities based on customer value, market potential, technical feasibility and commercial viability.
Decide whether opportunities should be built, partnered, integrated or sourced externally.
AI Ecosystem & Partnerships
Identify and evaluate AI platforms, technology providers, software vendors, start-ups and solution partners.
Lead product-level discussions on solution scope, integration, commercial models, roadmap and responsibilities.
Manage external partners and delivery teams against agreed product and business outcomes.
Product Development & Launch
Translate customer and business needs into product propositions, requirements, priorities and measurable outcomes.
Work with engineering, architecture, data, security, legal, procurement, operations, sales and marketing to bring products from concept through launch.
Ensure products are scalable, supportable and operationally ready - not simply pilots or proof-of-concepts.
Commercialization & Growth
Develop product packaging, pricing logic, business cases and go-to-market plans with commercial teams.
Understand product economics, including revenue potential, usage costs, partner economics and cost-to-serve.
Track adoption, recurring usage, revenue, customer value and margin, and use these insights to improve and scale the portfolio.
Governance & Product Performance
Ensure appropriate governance across cybersecurity, privacy, data, responsible AI and regulatory requirements.
Define and monitor product success metrics and provide clear recommendations to senior stakeholders.
Continuously assess whether products should be scaled, improved, pivoted or retired based on evidence and performance.
What We’re Looking For
Bachelor’s Degree in Computer Science, Engineering, Business, Economics, Product Management or a related discipline.
6+ years of relevant experience in product management, digital platforms, enterprise technology, technology commercialisation or platform partnerships.
Proven experience taking digital, cloud, data or AI-enabled products from discovery through launch and growth.
Experience working with technology vendors, software providers, start-ups, delivery partners or external ecosystems.
Strong understanding of generative AI, AI agents, APIs, cloud platforms, enterprise integration and data.
Comfortable discussing technical architecture, integrations and security with technology teams while translating these into business and customer outcomes.
Strong commercial acumen, including experience with business cases, pricing, revenue models, cost structures or unit economics.
What Success Looks Like
You will build a pipeline of customer-backed AI opportunities, select the right build/partner approach, and bring differentiated products to market.
Success means moving beyond pilots into scalable offerings with strong adoption, recurring usage, revenue and sustainable economics.
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.
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