Open jobs in Singapore: on-site, hybrid and remote.
20 jobs found · Singapore
Mandarin
In this role, the Designated Support Engineer will build and maintain close relationships with strategic customers, manage and prioritize critical issues, and ensure a…
Hong Kong; Singapore; United Arab EmiratesAsia-Pacific
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and…
As a Forward Deployment Strategist (FDS), you are the critical bridge between a customer's multi-million dollar business problem and Databricks' technical solution.
As a Strategic Enterprise Account Executive, your mission will be to grow one of our focus customers in Databricks PubSec team. Always prospecting for new opportunities…
Remote · SingaporeAsia-Pacific
We’re hiring the first AI Deployment Manager to partner with some of our most strategic enterprise customers. As an AI Deployment Manager, you’ll drive adoption, deliver…
You will spend a significant share of your time in person with partner principals, delivery teams, and customers across your market, and you will work closely with a…
Hong Kong; Singapore; TaiwanAsia-Pacific
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and…
Hong Kong; SingaporeAsia-Pacific
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and…
Hong Kong; Malaysia; Singapore; TaiwanAsia-Pacific
We are looking for a technically strong Wallet Integration Specialist to drive external integrations for the Tokenized Stocks business line.
In this role, you will manage local global mobility, immigration, relocation, and onboarding activities in your assigned geography.
As a Staff Software Engineer, you will design, build and run GenAI services, agents and applications that solve practical problems for Agoda teams.
The role suits senior data scientists and ML practitioners who want end-to-end responsibility for complex systems, where ML, product and engineering meet