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

YesterdaySaved
In-Office
San Francisco, CA, USA
155K-200K Annually
Senior level
155K-200K Annually
Senior level
Internet of Things • Security
Serve as the technical lead in sales engagements: deliver virtual and in-person demos, deploy proof-of-value installations, lead technical training, support marketing and conferences, troubleshoot and develop use cases and prospect-facing documentation, and partner with sales to close enterprise cybersecurity SaaS deals. Frequent travel (up to 75%) required.
Top Skills: ArmisArubaIomtIotLinuxMerakiNetworkingOtPythonSaaSVirtualizationWireless Lan Controllers (Wlcs)
YesterdaySaved
In-Office or Remote
2 Locations
150K-215K Annually
Expert/Leader
150K-215K Annually
Expert/Leader
Internet of Things • Security
Lead strategy and team for Global System Integrators (GSIs), Cloud Service Providers (CSPs) and technology partners. Act as executive sponsor and escalation point, recruit and manage a sales-oriented partner team, align partners with sales and services, run partner QBRs, build business plans, coordinate enablement and partner marketing, and drive partner performance with executive reporting.
Top Skills: ArmisAWSGCPServicenow
YesterdaySaved
Remote
USA
140K-160K Annually
Senior level
140K-160K Annually
Senior level
Internet of Things • Security
Support governance, risk and compliance by collecting and managing audit evidence, document control implementations, update policies, assist vendor risk management, and complete security questionnaires while implementing automation (including AI) to streamline continuous monitoring and evidence collection.
Top Skills: AIAnecdotesAsanaAWSDrataFedrampGCPGoogle WorkspaceHipaaIso 27001Iso 27017Iso 27018Iso 42001JIRALinuxMicrosoft Office 365NistPci DssSoc 2 Type 2Sox
YesterdaySaved
Remote
USA
184K-250K Annually
Expert/Leader
184K-250K Annually
Expert/Leader
Internet of Things • Security
Design, build, and maintain scalable AI/ML pipelines for data processing, model training, and deployment. Collaborate with data scientists and engineers to implement and optimize AI solutions, troubleshoot pipeline issues, document best practices, and develop MVP code to transition into production-ready systems.
Top Skills: Ai/Ml PipelinesAWSAzureDockerGCPKubernetesMachine LearningPython
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