Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

22 Days AgoSaved
In-Office or Remote
5 Locations
Junior
Junior
Machine Learning • Software
Own and improve infrastructure for a deploy-anywhere AI platform across AWS, GCP, and on-premises environments. Build Terraform and Helm infrastructure, manage Kubernetes clusters, CI/CD pipelines, GitOps workflows, observability, and ML inference workloads. Contribute to backend services in Java and Python, support enterprise deployments, improve reliability and scalability, and participate in on-call operations.
Top Skills: AerospikeArgocdAws EksBazelClickhouseDatadogFluxGcp GkeGithub ActionsGitopsGoGrafanaGrpcHelmJavaKafkaKubernetesLinuxMariadbOpensearchOpentelemetryPostgresPrometheusPulsarPulumiPythonPyTorchTanzuTensorflow ServingTerraformVllm
One Month AgoSaved
In-Office or Remote
7 Locations
Senior level
Senior level
Machine Learning • Software
Serve as the technical sales and customer-facing expert for an AI platform. Responsibilities include conducting product demonstrations, supporting proofs of concept, advising on architecture and development, planning professional services projects, tuning retrieval and agentic pipelines, responding to RFPs, supporting customer adoption, and communicating product feedback internally. The role requires strong AI, cloud, on-premise, application development, storytelling, and enterprise customer engagement experience.
Top Skills: AIGpusJavaKubernetesMachine LearningNetworkingPythonRestSaaSVirtualizationVpc
Reposted 2 Months AgoSaved
In-Office
San Francisco, CA, USA
Senior level
Senior level
Machine Learning • Software
The Account Executive will manage sales cycles for SMB customers, generating leads, guiding prospects, and articulating Vectara's AI technology value while ensuring customer satisfaction and consistent quota attainment.
Top Skills: CloudData InfrastructureGenerative AiSaaS
YesterdaySaved
Remote
US
Senior level
Senior level
Machine Learning • Software
Lead development of scalable backend services and platform infrastructure for an AI agent platform. Responsibilities include architecture and code reviews, infrastructure automation, CI/CD, observability, reliability, distributed systems, ML/NLP workload support, and mentoring engineers. The role requires expertise in Java, Python, cloud environments, Docker, Kubernetes, infrastructure-as-code, monitoring tools, and data infrastructure.
Top Skills: AirflowAWSAzureCi/CdDockerEfkElkGCPGrafanaJavaKafkaKubernetesPrometheusPulumiPythonSparkTerraform
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