Top Tech Jobs & Startup Jobs in Singapore

3 Days AgoSaved
In-Office
Singapore, SGP
Senior level
Senior level
Artificial Intelligence • Cloud • Software • Big Data Analytics
Owns full-cycle enterprise sales for Cloudera’s supported OEM Mistral offering and Anywhere Cloud, from prospecting and proof of concept through negotiation, close, renewal, and expansion. Manages complex, multi-threaded deals, executive relationships, pipeline, forecasting, and quota attainment. Coordinates account executives, partners, engineering, product, legal, implementation, and solution specialists while positioning AI within customers’ data strategies and hybrid technology environments.
Top Skills: Ai ModelsClouderaCloudera Anywhere CloudContainersEnterprise AiHybrid ArchitecturesKubernetesMistralPublic Cloud
One Month AgoSaved
In-Office
Singapore, SGP
Senior level
Senior level
Artificial Intelligence • Cloud • Software • Big Data Analytics
Provides technical and business consultation throughout the sales process, including customer discovery, requirements workshops, solution architecture, technical presentations, competitive positioning, and account strategy. The role designs and demonstrates enterprise data solutions, translates customer feedback into product roadmap input, supports evangelism, develops enablement materials, and mentors associate engineers. Candidates need extensive enterprise software and Big Data experience, strong Linux and architecture skills, and familiarity with data engineering, infrastructure, security, and governance.
Top Skills: .NetApache FlinkApache KafkaApache NifiApache SolrSparkBig DataCassandraDatastageDeep Learning FrameworksEnterprise SoftwareExadataGreenplumHardwareHbaseHdfsIbmImpalaInformatica BdmInfrastructureJavaKuduLinuxMongoDBNetezzaNetworkingOraclePythonQlikRSolution ArchitectureSQLStorageTableauTalendTeradataYarnZoomdata
One Month AgoSaved
Hybrid
Singapore, SGP
Senior level
Senior level
Artificial Intelligence • Cloud • Software • Big Data Analytics
Designs, investigates, and optimizes infrastructure for production AI workloads across GPU environments, on-premises datacenters, private infrastructure, and public clouds. Diagnoses Linux, GPU, container, networking, storage, and hardware issues; develops benchmarking, diagnostic, deployment, and validation tooling; improves inference performance, GPU utilization, reliability, and scalability; and translates technical findings into product capabilities in collaboration with engineering and product teams.
Top Skills: ContainersDistributed SystemsGpu DriversGpu InfrastructureGpu RuntimesKubernetesLinuxNetworkingNvidia MigNvidia NimSglangStorageTritonVllm
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