Jobs at Dragos

Lead OT security monitoring and triage operations, investigate suspicious activity across industrial networks, tune detections, manage vulnerabilities and asset classification, and escalate findings to incident responders and threat hunters. Produce customer-facing reports, support platform operations, mentor analysts, and collaborate across cybersecurity teams. The role requires shift-based coverage, remote coordination, and expertise in network security with a strong interest in ICS/OT environments.

Leads accounting operations for Dragos Public Sector, including financial close, reporting, revenue recognition, government contract compliance, audits, internal controls, timekeeping, billing, and accounting systems administration. Partners on budgeting and forecasting, manages accounting staff, supports tax and regulatory filings, and drives process improvements across a multi-entity environment.

Manage FP&A activities including headcount reporting, annual operating planning, rolling forecasts, variance analysis, financial modeling, sales and revenue forecasting, and budget-to-actual reviews. Provide analytical insights and decision support to operational leaders, partner cross-functionally on company initiatives, and communicate business drivers, KPIs, and financial results to stakeholders.

Support sales territory planning, quota alignment, compensation processes, revenue operations, CRM data integrity, reporting, audits, and process improvements. Analyze market and account data to design equitable territories, reconcile discrepancies, improve workflows, support system implementations, troubleshoot issues, and develop training and documentation. Partner with sales leadership and cross-functional teams to optimize territory structure and revenue operations capabilities.

Owns the Dragos Platform’s release architecture, packaging, documentation, communications, and delivery across on-premises, cloud-hosted, customer-hosted, and hybrid environments. Manages cloud vendor relationships, coordinates release mechanisms and schedules, develops reference architectures, and partners with Engineering, Product Marketing, Support, Customer Success, and customers to prioritize deployment capabilities and ensure reliable releases.

Leads and mentors a product security engineering team while remaining hands-on. Owns certification, accreditation, DISA STIG hardening, SOC 2, ISO 27001, audit readiness, vulnerability remediation, security tooling, and authorization initiatives. Coordinates with Compliance, Legal, Sales Engineering, and customers; tracks remediation SLAs and certification posture; establishes evidence collection processes; and translates technical security strategy into an executable roadmap.

Leads OT incident response investigations as Incident Commander, including triage, threat hunting, compromise assessments, root-cause analysis, and customer advisory work. Develops incident response plans, playbooks, maturity assessments, and tabletop exercises; manages customer relationships and communications; contributes to threat research and thought leadership; mentors responders and improves IR methodologies. The role requires extensive ICS/OT cybersecurity, digital forensics, consulting, incident management, and communication experience.

Lead hypothesis-driven threat hunts across industrial control system and operational technology networks. Investigate suspicious activity, escalate high-severity alerts, configure Dragos Platform hunt profiles, develop hunting content, analyze network telemetry, and improve detection capabilities. Advise customers during critical security events, produce technical reports, create repeatable tooling, and mentor junior team members on OT protocols, adversary tactics, and threat intelligence.

Serve as the primary technical advisor for federal customers using the Dragos OT cybersecurity platform. Lead onboarding, implementation, adoption, account reviews, roadmap alignment, optimization, customer health monitoring, and recovery plans. Partner with Customer Success, Support, Product, and Sales while delivering cybersecurity training, workshops, and executive briefings. Apply ICS/OT expertise to help customers operationalize security use cases, improve maturity, mitigate risk, and achieve measurable value.

Lead large-scale Linux sensor platform initiatives for high-performance OT and ICS network monitoring. Design and improve packet ingestion, capture pipelines, queue management, broker integration, observability, and reliability. Own production root cause analysis, postmortems, performance benchmarks, and durable fixes. Translate business goals into technical plans, establish engineering standards, mentor team members, and guide architecture across the sensor codebase.

Build and maintain lead-to-order business systems across Salesforce and connected platforms. Design complex applications, declarative automation, Apex and Lightning solutions, integrations, APIs, data models, and security controls. Remediate technical debt, lead migrations and tool rollouts, manage testing and cutovers, and ensure production systems are observable, documented, and governed. Partner cross-functionally to translate business requirements into scalable solutions while supporting AI capabilities in go-to-market workflows.

Develop and validate high-fidelity threat detections and asset-identification analytics for industrial control system environments. Analyze threat intelligence, packet captures, host logs, network and device artifacts, and large datasets to identify adversary behaviors. Mentor detection engineers, review and triage detection requests, document analytics processes, and partner with engineering and quality teams to address platform gaps. Support ICS cyber-range activities and contribute to detection testing, tuning, and knowledge-base maintenance.

Designs and manages scalable data pipelines, contracts, transformation layers, and analytics models. The role focuses on data governance, observability, lineage, configuration validation, and collaboration with product engineering teams. It requires processing large datasets, integrating cloud and on-premises industrial technologies, and implementing streaming and message-queuing solutions, ideally in cybersecurity or industrial environments.

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.

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.

Design and implement scalable data integrations and transformation layers for cybersecurity products. Build data contracts, dimensional/incremental models, observability, and lineage tooling. Collaborate with product engineering to integrate SIEMs (Sentinel, Splunk) and deploy cloud/on-prem solutions on Kubernetes/Docker, processing medium-to-large datasets and stream/message systems.

Lead and grow the Backend Engineering team building microservice-based platform components for streaming data ingest, detection processing, baseline learning, asset reconciliation, and core platform APIs. Mentor engineers, collaborate with tech leads and product managers, provide technical design input, support production deployments, and occasionally contribute to development and troubleshooting.

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.

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 ML systems for ICS/xOT cybersecurity, including threat detection, anomaly detection, NLP/LLM features, data pipelines, observability, MLOps, and containerized deployments across cloud and on-prem environments.