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

The Senior Platform Consultant will manage deployment, support, and optimization of the CrowdStrike Falcon Cloud Security platform, collaborating with IT teams and mentoring colleagues.

Manage a team of TPRM analysts to run the vendor risk lifecycle, improve tooling and automation (ServiceNow TPRM, AI), perform assessments and audits, develop TPRM policies aligned to frameworks (NIST/ISO/SOC 2), partner with procurement/legal/IT, track KPIs, and support audit and reporting to leadership.

Operate and automate large-scale data plane services (Cassandra, Elasticsearch/OpenSearch, Kafka, etc.), build infrastructure for a devops model, troubleshoot production incidents, and ensure petabyte-scale data is secure, available, and efficiently managed.

The VP of Agentic Systems will lead data science research and development, focusing on AI systems to enhance cybersecurity operations, requiring strong leadership and collaboration across technical teams.

Lead global Customer Success analytics strategy, architect data and health/adoption models, oversee data pipelines, deliver executive-level storytelling, mentor an analytics team, and drive cross-functional KPI alignment and self-serve BI adoption.

Build and maintain cloud cost monitoring, alerting, and optimization tooling. Develop automation, cost allocation/tagging, data pipelines, dashboards, and integrations with billing APIs. Support FinOps processes, implement cost guardrails, troubleshoot cost systems, participate in on-call rotation, and collaborate with senior engineers and product teams to drive cost-efficient infrastructure and reporting.

The role focuses on implementing cost optimization solutions for cloud infrastructure through automation and collaboration across teams, enhancing FinOps practices.

Lead CrowdStrike's marketing transformation by operationalizing AI-enabled workflows, driving adoption and governance of agentic systems, defining role and skill evolution, shaping product roadmap, measuring impact, and managing change to embed new ways of working across marketing teams.

Lead product vision, roadmap, and delivery for Product and Services Analytics. Drive requirements, prioritize backlog, partner with engineering on technical solutions, define KPIs, engage executives and stakeholders, mentor junior product staff, and guide go-to-market and documentation for analytics features in a cybersecurity context.

Design, build, and operate large-scale LLM infrastructure and data platforms for training, fine-tuning, and inference. Provision GPU clusters, optimize GPU utilization, implement model lifecycle management, deploy inference frameworks, create evaluation and observability systems, and collaborate with data scientists to productionize AI capabilities. Mentor engineers and enforce MLOps/DataOps best practices.