Top Tech Jobs & Startup Jobs in Singapore

Own the end-to-end development of reliable data products and scalable dbt models. Build and optimize data warehouse transformations, enforce testing and data quality, monitor pipelines, document data definitions, and collaborate with engineers, analysts, and business stakeholders. Translate analytical needs into production-ready models and champion data usage across the organization. Research and prototype emerging technologies such as GenAI to improve data engineering, orchestration, and product analytics capabilities.

Drive enterprise sales across Asia from Singapore, focusing primarily on new business and deals exceeding $100,000. Build and execute territory plans, develop enterprise relationships, consistently meet or exceed quota, and collaborate with SDR, partner sales, marketing, and channel teams. Engage C-level stakeholders across target accounts and lead complex, multi-threaded sales cycles in a fast-growing startup environment.

Design and develop production MCP and AI Gateways that connect enterprise systems, AI agents, and LLM providers. Build high-throughput network services with routing, streaming, authentication, observability, concurrency, and tenant isolation. Optimize PostgreSQL-backed applications, profile services under load, and operate containerized deployments with Kubernetes. Integrate LLM APIs at the protocol level while improving reliability, latency, security, and cost.

Design, build, and maintain reliable Go microservices and enterprise platform features involving authentication, caching, work queuing, APIs, and on-premise capabilities. Collaborate with Infrastructure and SRE teams on availability and scalability, contribute throughout the software lifecycle, write testable code, debug systems, and improve existing distributed architectures.

Generate new sales opportunities through outbound prospecting, cold calling, email sequencing, lead research, and territory development. Set meetings for sales representatives, build pipeline, support marketing campaigns and go-to-market efforts, refine targeting strategies, consult existing customers, achieve sales targets, and collaborate with Marketing, Sales, and Customer Success teams. The role requires technical aptitude and the ability to learn integration and automation solutions.

Design and maintain data pipelines, build data warehouse models, optimize dbt Cloud workflows, improve CI/CD and DevOps practices, and support AI initiatives involving Data Genie. Collaborate with business stakeholders to resolve data issues, deliver actionable insights, and support operational needs across business units.

Support Business Technology by analyzing operational data, surfacing patterns, building automated categorization and live trackers, quantifying trends, proposing AI/automation solutions, and managing the project lifecycle with stakeholders and milestones.