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

Design and maintain data pipelines, models, and transformation layers for analytics. Build data contracts, observability and lineage tooling, collaborate with product engineering, and optimize data structures for performance and scalability.

Designs and delivers leadership and manager development programs, owns the LMS, creates multi-format learning content, partners with People Business Partners, manages vendors, measures program effectiveness, and leverages AI to scale learning.

Plan, coordinate, and execute owned and third-party corporate events (workshops, conferences, trade shows). Manage budgets, vendor contracts, logistics, registrations, on-site support, stakeholder alignment, and post-event evaluation to drive attendee engagement and promote Dragos.

Lead and grow a data engineering team building and modernizing the core data platform for cybersecurity products. Define technical strategy and data models, ensure data quality for detection and analytics, champion AI-assisted engineering, oversee production support and incident response, collaborate with cross-functional teams, and drive hiring and best practices to deliver scalable, high-performance data pipelines and storage.

Lead expert-level adversary hunting for ICS/OT threats: own threat groups, author finished intelligence, run proactive/reactive hunts, support incident response, improve data/tooling (Synapse/StormQL), mentor peers, and represent Dragos externally through reports and briefings.

Serve as primary post-sales contact to drive onboarding, adoption, retention, and expansion for industrial cybersecurity customers. Build relationships, define success metrics, manage churn risk, monitor account health, execute success plans, maintain SFDC records, and collaborate with sales, TAMs, services, intelligence, and support.

Lead and manage an adversary hunting team focused on OT threat groups. Perform hands-on hunting using Synapse and Storm Query Language, produce WorldView reports and detection artifacts, collaborate with intelligence and malware analysis, refine KPIs, support incident response surges, recruit and develop staff, and represent the team externally.

Hunt, identify, and analyze adversary tools, malware, and tradecraft targeting ICS/OT. Develop and maintain analysis tools and scripts, contribute to threat assessments and customer advisories, leverage intel and network analysis tools, recommend automation and telemetry improvements, and support incident response and external communications.

Design, build, and deploy production-grade ML systems for ICS/xOT cybersecurity, including threat detection, anomaly detection, NLP/LLM applications, and scalable data pipelines with observability and MLOps practices for cloud and on-prem environments.

Lead design and modernization of scalable, secure data systems and real-time pipelines for xOT cybersecurity. Create data contracts, observability, lineage, and cross-functional solutions supporting cloud and on-prem deployments, Kubernetes, and stream processing to enable threat detection and intelligence.