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

8 Days AgoSaved
In-Office
San Francisco, CA, USA
Junior
Junior
Artificial Intelligence • Software
Early go-to-market Account Executive responsible for full-cycle selling: outbound pipeline creation, discovery, pilots, negotiation, and closing. Partner with engineering and deployment teams, develop messaging and sales processes, translate customer feedback to product, and help build the GTM organization while maintaining and expanding customer relationships.
10 Days AgoSaved
In-Office
San Francisco, CA, USA
Senior level
Senior level
Artificial Intelligence • Software
Build end-to-end product and agent systems that ingest production agent traces, run large-scale investigations, verify agent changes via simulated envs and trajectory replay, design investigator and swarm UX, and build platform features (workspaces, roles, billing, SDKs) to close the improvement loop for AI agents.
Top Skills: AgentsClaude CodeCodexLlmsOpencodeSdk
Reposted 13 Days AgoSaved
In-Office
San Francisco, CA, USA
Senior level
Senior level
Artificial Intelligence • Software
Design and build high-throughput backend services and APIs to ingest, evaluate, and serve agent telemetry at scale. Own API contracts and versioning, optimize ClickHouse OLAP schemas and queries for petabyte-scale reads, collaborate with platform/infra on reliability and scalability, and uphold high engineering quality.
Top Skills: AirflowClickhouseDagsterEmbedding/Vector SearchFlinkKafkaLlm ApisPrefectPrestoRaySpark
Reposted 19 Days AgoSaved
In-Office
San Francisco, CA, USA
Entry level
Entry level
Artificial Intelligence • Software
Embed Judgment Labs' agent behavior monitoring into customer production systems: integrate monitoring and evaluation into agent workflows, diagnose failures in live environments, guide customers on monitoring and evaluation strategy, and own multiple customer engagements end-to-end to ensure sustained adoption.
Reposted 19 Days AgoSaved
In-Office
San Francisco, CA, USA
Senior level
Senior level
Artificial Intelligence • Software
Design, build, and operate multi-region, highly available cloud and self-hosted/BYOC deployment architectures across AWS, GCP, and Azure. Implement secure networking, compliance/data residency solutions, automated provisioning, and observability for distributed customer environments. Own infrastructure roadmap, reliability, and enterprise deployment lifecycle, including documentation and customer-facing implementation guides.
Top Skills: Air-Gapped EnvironmentsAWSAws PrivatelinkAzureAzure Private LinkByocCdnCentralized Logging And AlertingCloudFormationDnsEncryption (At Rest And In Transit)GCPGcp Private Service ConnectGitopsLoad BalancersOn-Premises/Hybrid CloudPulumiSAMLScimService MeshSsoTerraformVpcVpc Peering
Reposted 19 Days AgoSaved
In-Office
San Francisco, CA, USA
Mid level
Mid level
Artificial Intelligence • Software
Build scalable systems to aggregate, index, and analyze large-scale agent interaction data; develop agent-based evaluation systems; design post-training and optimization workflows; build internal tools and infrastructure for experimentation, analysis, and training; ship research into production and collaborate cross-functionally to improve agent behavior.
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