Singapore, Japan, Korea, Taiwan, South-East Asia, Australia and New Zealand.
109 jobs found · Asia-Pacific
Mandarin (a plus)
We have brought fans popular games including Genshin Impact, Honkai: Star Rail, Honkai Impact 3rd, Tears of Themis, and Zenless Zone Zero, as well as a wide range of…
Taguig, Taguig, PhilippinesAsia-Pacific
The Analytics Engineer candidate will work on all aspects of the data pipeline: ingesting raw sources, transforming it into usable data sets, and creating visualizations…
Singapore (Hybrid)Asia-Pacific
We are looking for a hands-on VP, Product Analytics to lead Product Analytics and build an AI-native analytics operating system across the company’s crypto, stocks…
As a Senior Professional Services Engineer at GitLab, you'll work directly with customers to deliver installation, migration, training, and advisory services that help…
Japanese
You will be owning a wide variety of tasks: from support tickets to community support, helping with both pre- and post-sales customer activities, partnering with our Go…
Remote · SingaporeAsia-Pacific
We are seeking a Senior Technical Customer Support Engineer to join our global Support Engineering team.
Japanese
As an AI Deployment Manager (ADM) at SpaceXSI, you’ll own the post-sale journey for a portfolio of enterprise customers, driving adoption, retention, and expansion.
The role suits senior data scientists and ML practitioners who want end-to-end responsibility for complex systems, where ML, product and engineering meet
JapaneseKorean
As Head of Customer Success, APAC at Anthropic, you will build and lead our Customer Success function across Asia Pacific.
Japanese
As a Support Associate in Kuala Lumpur, supporting Japanese language with 24/7 shift, you will: As a Support Associate in Kuala Lumpur, supporting Japanese language with…
Mandarin
As a Customer Success Manager at Anthropic, you'll be the strategic partner and trusted advisor to our most complex customers across ASEAN, helping them harness the full…
The role suits senior data scientists and ML practitioners who want end-to-end responsibility for complex systems, where ML, product and engineering meet