Responsibilities

Manage the product and corresponding lifecycle of Managed Services portfolio including SD-WAN and SSE solutions.
Manage the product’s cost structure, roadmap, product positioning, commercial model, and product P&L.
Strengthening the competitiveness of SD-WAN by enabling both AI initiatives and curating relevant principal-led AI programs for integration into the portfolio.
Improving the efficiency, scalability, and operational resilience of the end-to-end SD-WAN service by driving automation and embedding AI-Ops into day-to-day business operations.
Develop product policies, performance and streamline processes. Ensure comprehensive documentation of processes and product specification.
Plan and develop new product, creating features, capabilities, establishing pricing and benchmarking to ensure product’s relevance, competitiveness, and meeting market needs.
Work closely with relevant stakeholders to ensure product requirements are well supported and integrated into OSS and BSS systems.
Work closely with key vendors to capitalise on new opportunities, smoothen our Day 1 deployment and Day 2 operations for current customers.
Enable sales team to upsell services to accelerate customers’ digital transformation.
Support sales in RFP, RFQ and service teams during deployment (Day 1) and service management (Day 2) phases.
Review and manage product terms and conditions, partner contract and agreement.

Requirements

Degree in Business, Marketing, Computer Science or Engineering.
Minimum 5 years of relevant experience in product management, product development experience or related scope, at large enterprises, or innovative start-ups.
Experience in managed Customer Premise Equipment (CPE), cloud-based services and/or customised managed services offering.
Experience in working with major SDWAN / router / SSE brands such as Fortinet, Cisco, Silverpeak, Versa, Cato, Palo Alto, Z-Scaler.
Interest in developing service and initiatives that improve end-user experience through runbooks, digitalization, automation, AI-Ops.
Keen sense of technology developments, market trends, and needs of the enterprise business market.
Strong numerical, analytical, and problem-solving skills.
Good written and verbal communications skills.