Top Remote Senior Level Cybersecurity & IT Jobs

Lead assessment and mitigation of security risks in the virtualization stack. Build threat models, rubrics, and defenses; partner with kernel, virtualization, and provisioning teams to design and implement mitigations; mentor engineers, manage vulnerability backlog, and promote security best practices across product teams.

Run day-to-day marketing for AppSec, AI/ML Security, and Research & Engineering practices: produce technical content, own social and event presence, run demand-generation campaigns, enable sales, build analytics and attribution, and coordinate cross-practice coverage with engineering and GTM 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.

Manage 60–80 California state enterprise accounts, develop and execute account strategies, close new business and expand revenue, build executive relationships, collaborate across field, channel, and technical teams, leverage partners, maintain Salesforce records, and travel up to 50% to engage prospects and customers.

Design, implement, and maintain scalable cloud security controls for Vercel's platform. Harden infrastructure using infrastructure-as-code and policy enforcement, secure CI/CD pipelines, perform threat modeling and risk analysis, improve monitoring and incident response, and build platform-level security tooling in collaboration with platform and infrastructure teams.

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 ship production software that identifies, fingerprints, and interacts with network-connected devices (embedded, IoT, OT/ICS). Analyze network captures and undocumented protocols, develop automation and shared frameworks, write automated tests, troubleshoot production issues, and mentor engineers. Collaborate with product, research, and customer teams and use AI coding tools to accelerate development.

Design and maintain data pipelines, data contracts, and transformation layers for analytics. Model complex sources, enable observability and lineage, collaborate with product teams, and optimize data structures for scalable cybersecurity and industrial datasets.

Serve as the technical lead for enterprise accounts: architect solutions, drive technical sales, run end-to-end Proof of Value, and collaborate with internal teams to address customer security and AI/ML-related needs. Act as a consultative advisor for AI adoption and secure networking within large accounts.

Lead creation of pipeline and close Risk & Security solution deals on the ServiceNow platform. Drive territory strategy, coach account teams, partner with customers and specialists to envision digital transformation, and support solution roadmap and sales execution.

Lead enterprise fraud prevention strategy for loan products: design decisioning engines, recommend verification standards, leverage analytics and ML to assess identity risk, mentor analysts, set KPIs, report to leadership, and drive automation and best practices for a frictionless customer experience.

Design, implement, and support AWS cloud governance, identity, and network solutions. Architect automated guardrails (SCPs, IAM), drive cross-team compliance, develop IaC for governance tooling, mentor engineers, and track metrics for security posture, cost, and resource utilization.

Design, maintain, and extend abuse detection and prevention systems for GitLab's SaaS platform. Serve as a core maintainer of a Ruby on Rails monolith, build anomaly detection and agentic AI mitigations, automate abuse response, collaborate with peer engineering and security teams, and produce runbooks and operational documentation.

Design, implement, and operationally support enterprise security platforms across cloud, endpoint, identity, network, and SaaS. Lead detection, telemetry, vulnerability management, automation, and incident escalation. Partner with stakeholders to deliver secure, scalable services, improve security posture and Zero Trust objectives, and mentor engineers while maintaining documentation, KPIs, and on-call support.