Top Tech Jobs & Startup Jobs in Singapore

Build and maintain scalable enterprise data platforms, pipelines, integrations, and reusable data products for global manufacturing operations. Implement data governance, quality monitoring, metadata, lineage, and master data practices. Develop cloud-native, batch, streaming, and event-driven solutions supporting analytics, AI, reporting, smart factories, and digital twins. Collaborate with architects, engineers, data scientists, and operations stakeholders while applying DevOps, observability, and CI/CD practices.

Develop secure, responsive operational applications for manufacturing and frontline workflows across mobile, tablet, and industrial devices. Integrate applications with SAP, MES, enterprise data platforms, AI services, and backend APIs. Build offline-capable workflows, digital instructions, inspections, maintenance tools, inventory transactions, and intelligent user experiences. Collaborate with cross-functional engineering and operations teams using Agile practices while evaluating emerging technologies such as wearables, barcode systems, voice interaction, and AI assistants.

Develop secure, intuitive operational applications for manufacturing and frontline workflows across mobile, tablet, and industrial devices. Integrate applications with SAP, MES, enterprise data platforms, AI services, and backend APIs. Build offline-capable workflows, digital instructions, inspections, maintenance tools, inventory transactions, and approvals. Collaborate with multidisciplinary teams, stakeholders, and Agile development groups to improve productivity, usability, and operational decision-making through modern cross-platform, cloud, and AI-enabled technologies.

Analyzes international trade, tariff, customs, shipment, and trade agreement data; prepares reports and recommendations on risks, costs, duty optimization, and trade strategy. Monitors import/export compliance across China, Europe, and Asia, maintains SAP/MIC trade data, resolves discrepancies, supports customs reconciliation, researches regulatory changes, and identifies automation and process improvement opportunities. Collaborates with logistics, supply chain, finance, legal, compliance, and regional trade teams.

Manages end-to-end customer orders from entry through delivery and invoicing, resolves complex customer service issues, coordinates with sales, manufacturing, logistics, and service teams, and ensures compliance with company policies and international requirements. Provides order status updates, supports revenue recognition, handles escalations, processes changes and returns, and contributes to customer service KPIs. Supports Korean customers in English and Korean and may work extended shifts during month-end.

Develop and execute channel strategies to grow sales through partner networks. Recruit, onboard, enable, and manage channel partners; establish performance goals and incentive programs; analyze partner results; and build strategic relationships. The role requires market analysis, negotiation, reporting, coaching, and resolving partner challenges. Experience in chemical analysis and life science laboratory businesses is required, along with frequent travel.

Supports complex analytical instruments through electrical troubleshooting, failure analysis, root-cause investigations, yield and reliability improvement, sustaining engineering, change qualification, NPI manufacturing transitions, and production test development. The role debugs electronic assemblies from component to system level, develops test software and stations, analyzes quality data, manages engineering documentation, and collaborates with R&D, Manufacturing, Quality, MSAT, and Operations teams.

Own analytical quality for a global manufacturing Control Tower, translating operational data into KPIs, forecasts, scenarios, early-warning signals, performance narratives, and recommendations. Frame complex decisions, apply statistics, forecasting, machine learning, and AI, validate models, monitor performance and data quality, and lead analytical workstreams with cross-functional stakeholders. Build prototypes using Python, SQL, R, BI tools, and cloud technologies while communicating insights and limitations to senior leaders.

Leads global logistics process excellence, supply chain transformation, and continuous improvement initiatives. Designs and optimizes processes spanning planning, procurement, inventory, and distribution; manages complex cross-functional programs; develops business cases and performance metrics; and uses analytics and digital capabilities to improve operational efficiency, decision-making, and measurable business outcomes across global and matrixed organizations.

Develop and maintain advanced inventory and supply planning models, inventory optimization targets, scenario analyses, dashboards, and KPIs. Use Python, SQL, BI tools, predictive modeling, and machine learning to support supply planning, S&OE/S&OP, demand-supply coverage, capacity constraints, and inventory health. Partner with planning teams to improve data quality, automation, governance, model reliability, and executive decision-making.