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Top Program and Project Management Jobs in San Francisco, CA
Automation
Lead regional datacenter projects end-to-end, coordinating engineering, operations, suppliers, and customers. Manage project plans, identify risks, improve processes for security, compliance, and efficiency, and drive safety and operational parity across datacenter operations.
Top Skills:
AhuAzureDc Rack/EnclosuresGeneratorNetworkingSansServersStructured CablingUps
Automation
Lead operations for Global Skilling product team to modernize content lifecycle using AI and automation. Define process strategy, run cross-functional process transformation, govern supplier contracts, drive operational excellence, and manage teams to scale global skilling and publishing operations.
Top Skills:
AIAutomationData AnalyticsTaxonomy Metadata TaggingVideo Authoring
Reposted 17 Days AgoSaved
Automation
Senior individual-contributor responsible for owning CRM and seller-tooling domains end-to-end: translate seller workflows into problem statements, prioritize evidence-backed backlogs, define business requirements and success metrics, partner cross-functionally to launch and drive adoption, and communicate tradeoffs and outcomes to senior stakeholders.
Top Skills:
Ai-Assisted WorkflowCrm PlatformsData PlatformDynamics 365SalesforceTelemetryTruecrm
Reposted 2 Hours AgoSaved
Automation
Customer-embedded senior technical leader driving account outcomes through hands-on engineering and technical program management. Build and ship production-grade solutions, translate business needs into technical approaches, influence senior stakeholders, and transition work to FDE crews while operating in ambiguous, fast-moving environments to accelerate time-to-value.
Top Skills:
Ai Tools And WorkflowsAi/MlCloud ArchitectureData Engineering
Automation
Lead global GTM strategy for Modernization and Sovereignty (Sovereign Cloud/AI, Azure Local). Drive GTM plans, stakeholder alignment, sales motion design, capacity and incentive planning, partner and customer engagement, and cross-functional execution with Engineering, Marketing, Finance, and WWPS. Manage headcount, budget, vendor strategy, and champion inclusive team culture and communications.
Top Skills:
AIAzureAzure LocalCloudMicrosoft CloudSovereign AiSovereign Cloud
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Automation
Lead the technical skilling strategy for Microsoft Security Solutions Specialists by defining frameworks, identifying capability gaps, using data-driven insights, partnering with product and sales, and driving AI-enabled learning to improve seller effectiveness, pipeline quality, and business outcomes globally.
Top Skills:
AICloud PlatformsCloud SecurityComplianceData SecurityEndpoint ProtectionIdentityMicrosoft SecurityThreat Protection
Automation
Lead regulatory and compliance programs for Azure and Microsoft enterprise products. Define technical requirements, develop and execute compliance strategies, engage regulators and customers during audits and examinations, resolve executive and customer escalations, and drive cross-functional programs to meet regulatory obligations.
Top Skills:
AzureMicrosoft Cloud
Automation
Own and operate large cross-functional programs for cloud capacity management. Partner with software and hardware engineering to design solutions, track roadmaps, manage schedules and governance, identify risks, validate use cases, write test cases, collect performance metrics, lead customer engagements, and drive continuous improvements.
Top Skills:
Automation And Control SystemsAzureDatacenter DesignDistributed SystemsGpusIaasNetwork EngineeringOptimization/Decision-SupportPaasServer Design
Automation
Lead permitting, entitlements, and land development for a portfolio of datacenter projects across the Western U.S. Coordinate internal teams, manage contracts and budgets, engage authorities and stakeholders, mitigate regulatory risks, track permitting metrics, and improve program tools and processes to enable timely construction and delivery of operation-ready sites.
Reposted YesterdaySaved
Automation
Lead a cross‑discipline engineering team (software, TPM, data science) to deliver customer cloud solutions, coach talent, manage a portfolio of engagements, model engineering excellence, and promote AI-forward, reusable solution patterns and responsible practices.
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