.NET Engineering Manager
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Job Summary
Company Type:
Outsource
Technical Skills:
.NET
Location:
Ho Chi Minh - Viet Nam
Working Policy:
Job ID:
J00698
Status:
Close
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Own the overall performance and operations of the pre-sales function, managing multiple language-based teams (currently English- and Mandarin-speaking) through their Team Leaders. Coach and develop Team Leaders, ensuring consistent people management, performance standards, and team engagement across markets and languages. Act as the primary operational point of contact for the client stakeholder, aligning pre-sales execution with client expectations, product updates, and commercial goals. Drive pre-sales strategy, process optimization, and service quality to deliver strong customer experience and sales conversion for client products. Collaborate cross-functionally with internal Technical teams and other departments to ensure effective operations and smooth inquiry-to-sale conversion. Lead performance management through data analysis, reporting, and continuous improvement initiatives, sharing insights regularly with internal leadership and the client. Build and sustain a high-performance, resilient team culture in a fast-paced, scaling environment.
Negotiation
View detailsAccount Manager
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- Account Management
- Sale
Tìm kiếm và tạo quan hệ với khách hàng mới và duy trì mối quan hệ với khách hàng hiện tại, phát triển cơ hội kinh doanh sản phẩm và giải pháp CNTT cho khách hàng trong lĩnh vực Tài chính, Ngân hàng, Chứng khoán, Bảo hiểm và Doanh nghiệp. Hợp tác với đối tác và nhà cung cấp để đảm bảo tiến độ dự án. Đảm bảo doanh số kinh doanh được giao. Hỗ trợ và theo dõi các bộ phận liên quan trong quá trình thực hiện hợp đồng.
Negotiation
View detailsDistributed Systems Engineer
Others - Singapore
Product
- Data Engineering
- Devops
- Golang
- Rust
- C/C++
- Python
Architecting and scaling distributed systems for managing large amounts of sensory, telemetry, and control data across cloud and edge environments Creating data ingestion and streaming pipelines to connect fleets of robots to the cloud in real time, including video, LiDAR, joint states, and audio data Building large-scale training and inference platforms for multimodal foundation models that drive robot autonomy and teleoperation Collaborating with ML and Robotics engineers to support hardware-in-the-loop simulation, policy rollout, and continuous learning Developing internal observability systems for fleet monitoring, reliability, and performance tuning Leading infrastructure decisions, including distributed storage and consensus protocols, GPU orchestration, and network reliability