Effectively address customer issues to reduce returns and to improve product review ratings.
Lead sustaining projects for launched Wi-Fi routers, mesh systems, and gateways — ensuring on-time delivery of fixes, ECOs, and firmware updates.
Own and drive product health metrics including defect rate, return rate (RMA), and customer satisfaction trends.
Manage sustaining release roadmaps and coordinate cross-functional planning with firmware, QA, and operations teams. Coordinate corrective and preventive actions (CAPA) with design, manufacturing, and SVT teams.
Collaborate with Product Development, Manufacturing, Quality, and Customer Support to identify and resolve field issues.
Drive root cause analysis (RCA) and corrective action (CAPA) efforts for high-impact failures or escalations.
Interface with ODM and chipset partners (e.g., Broadcom, Qualcomm, MediaTek) to ensure timely integration of fixes or driver updates.
Prioritize and triage field defects and escalation cases from customer support, product reviews, and social medias.
Analyze telemetry and field data to detect potential connectivity, stability, compatibility… issues from the field.
Communicate field performance trends and improvement plans to executive stakeholders and product line management.
Requirements
8+ years of experience as an engineering role in networking Wi-Fi products, with at least 3+ years in the home networking domain.
5–10 years of experience in project management or program management
Experience managing projects for networking, Wi-Fi, IoT, or consumer electronics products.
Proven track record of managing complex cross-functional engineering initiatives with global teams and ODM partners.
Working knowledge of firmware release processes, hardware validation, and customer support workflow.
Understanding of embedded systems, networking technologies (Wi-Fi, Ethernet, TCP/IP).
Familiarity with PLM (e.g., Arena, Agile), Jira/Confluence, Git, and manufacturing tools.
Comfortable reading BOMs, ECO documents, and hardware schematics at a conceptual level.
Use AI to classify text-based customer feedbacks and reviews with a very high accuracy.
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