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

18 Days AgoSaved
Remote or Hybrid
San Francisco, CA, USA
266K-395K Annually
Senior level
266K-395K Annually
Senior level
Artificial Intelligence • Cloud • Machine Learning • Infrastructure as a Service (IaaS)
Design and implement a vendor-agnostic storage control plane for large-scale AI infrastructure. Build abstraction layers, reconciliation loops, CRD-based orchestration, capacity/placement engines, multi-tenant isolation, and observability to ensure performant, resilient storage across vendors and datacenters.
Top Skills: CC++CephCi/CdCustom SchedulersCxlDaosDdnDockerDpuEdsffGoGpuIbm Storage ScaleInfinibandKubernetesKubernetes Controllers/OperatorsKubernetes CrdsLinux KernelNetappNfsNumaObservability (Sli/Slo)Pcie TopologyPurePythonRoceS3Vast DataWekaZns Ssds
19 Days AgoSaved
Hybrid
San Francisco, CA, USA
210K-305K Annually
Senior level
210K-305K Annually
Senior level
Artificial Intelligence • Cloud • Machine Learning • Infrastructure as a Service (IaaS)
Provide commercial legal support for Lambda's cloud business by drafting, reviewing, and negotiating customer, data center, partner, reseller, and marketing agreements; lead enterprise deal negotiations; advise cross-functionally on contract structure and risk; implement legal technology and process improvements; and develop templates and playbooks to scale contracting.
Reposted 19 Days AgoSaved
Remote or Hybrid
San Francisco, CA, USA
291K-430K Annually
Senior level
291K-430K Annually
Senior level
Artificial Intelligence • Cloud • Machine Learning • Infrastructure as a Service (IaaS)
Own the billing and metering product for a usage-based GPU cloud: define metering accuracy, reconciliation, credits/invoicing lifecycle, pricing changes, public billing API, fraud and bad-debt tradeoffs, and instrumentation. Partner with finance, platform engineering, and go-to-market to ensure revenue correctness and a coherent billing experience across self-serve and sales-led motions.
Top Skills: APIsGpuSQL
Reposted 20 Days AgoSaved
Remote or Hybrid
San Francisco, CA, USA
338K-438K Annually
Senior level
338K-438K Annually
Senior level
Artificial Intelligence • Cloud • Machine Learning • Infrastructure as a Service (IaaS)
Own Lambda's GPU hardware product roadmap: select GPU platforms and node/cluster configurations, align partner silicon roadmaps, translate customer demand and benchmarks into fleet investment decisions, and partner across data center, supply chain, and engineering to launch, measure, and iterate hardware offerings.
Top Skills: B200Cloud InfrastructureDistributed Training InfrastructureGpu ArchitecturesH200HpcInfinibandMpiNcclNvidia GpusOdm/Oem
Reposted 20 Days AgoSaved
Remote or Hybrid
San Francisco, CA, USA
314K-407K Annually
Expert/Leader
314K-407K Annually
Expert/Leader
Artificial Intelligence • Cloud • Machine Learning • Infrastructure as a Service (IaaS)
Lead and hire a Platform product team (Security, Observability, Billing); own platform product strategy and roadmap; partner with platform engineering to deliver horizontal capabilities (identity, telemetry, metering/billing) that enterprise customers trust; translate fleet telemetry and customer signals into prioritized work; act as a player‑coach driving execution and measurement.
Top Skills: Gpu ComputeGrafanaLambda Cloud ApiPrometheus
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21 Days AgoSaved
Hybrid
2 Locations
267K-356K Annually
Senior level
267K-356K Annually
Senior level
Artificial Intelligence • Cloud • Machine Learning • Infrastructure as a Service (IaaS)
Own and improve reliability, performance, and capacity of Lambda's production storage fleet. Build monitoring, alerting, CI/CD, and self-healing automation; investigate and resolve storage incidents; automate operational workflows; collaborate with storage, networking, and release teams; participate in on-call rotation to reduce MTTR and operational toil.
Top Skills: AlertmanagerAnsibleArgocdBuildkiteCephClushCsi DriversDatadogDell PowerscaleDockerEthtoolGithub ActionsGoGpfsGpudirect StorageGrafanaHelmInfinibandJenkinsKubernetesKustomizeKvm/QemuLinuxLustreMlxlinkNetappNfsNvme-Of/TcpPodmanPrometheusPythonRdmaRoceS3SmbSQLSr-IovSumologicTerraformVastVector DbWeka
Reposted 21 Days AgoSaved
Hybrid
2 Locations
191K-255K Annually
Mid level
191K-255K Annually
Mid level
Artificial Intelligence • Cloud • Machine Learning • Infrastructure as a Service (IaaS)
Support end-to-end M&A, strategic investments, and partnerships for Lambda's data center and digital infrastructure assets. Lead financial modeling, valuation, and due diligence; develop investment theses and market analyses; work cross-functionally with infrastructure, site selection, finance, and legal teams; present findings to executives and cultivate strategic partnerships.
Reposted 21 Days AgoSaved
Hybrid
San Francisco, CA, USA
173K-230K Annually
Senior level
173K-230K Annually
Senior level
Artificial Intelligence • Cloud • Machine Learning • Infrastructure as a Service (IaaS)
Lead financial modeling, valuation, due diligence, and execution for M&A, strategic investments, and capital raises. Evaluate opportunities, build investment theses and financing strategies, track market and capital markets trends, prepare executive presentations, and cultivate partnerships with lenders, investors, and strategic counterparties to support Lambda's growth and balance sheet objectives.
Reposted 22 Days AgoSaved
Hybrid
San Francisco, CA, USA
210K-280K Annually
Expert/Leader
210K-280K Annually
Expert/Leader
Artificial Intelligence • Cloud • Machine Learning • Infrastructure as a Service (IaaS)
Lead end-to-end executive searches for C-suite, VP, and senior director roles across functions; develop search strategies; partner with founders and board members; leverage industry networks in cloud, AI, and semiconductors; manage multi-stakeholder interviews and candidate experience; craft value propositions to attract startup executive talent.
Top Skills: Ai InfrastructureAi/MlCloud ComputingGpuSemiconductor
23 Days AgoSaved
Hybrid
2 Locations
206K-275K Annually
Mid level
206K-275K Annually
Mid level
Artificial Intelligence • Cloud • Machine Learning • Infrastructure as a Service (IaaS)
Design, build, and operate internal IT platforms to improve availability, scalability, and efficiency. Automate incident response, capacity planning, performance tuning, and integrations across enterprise applications. Collaborate with engineering and internal teams to define architectures, standards, and documentation for large-scale distributed systems. Support on-call, alerting, and reliability practices.
Top Skills: AnsibleAWSAzureChefGCPGithub ActionsGoPythonTerraform
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