Top Cyber Security Jobs in Dayton, OH

Lead multi-year product strategy for non-human identity and access across MongoDB Atlas, core database, and developer platforms. Drive workload identity federation, programmatic access, AI agent authorization, and developer-first access management. Partner with engineering, UX, and GTM to validate enterprise requirements, prioritize initiatives, and measure adoption. Represent MongoDB externally and mentor PMs to elevate product quality.

Lead applied research on agentic AI for cybersecurity: develop efficient post-trained models, agent designs, and rigorous evaluation/verification. Partner with security teams to translate research into products, run experiments, and publish novel techniques.

Perform deep security analysis of endpoint products and sensors: threat modeling, source-code review, exploit-style testing (including kernel components), reproduce/validate bug bounty findings, collaborate with developers to fix vulnerabilities, and build tooling/automation to improve security workflows.

Lead application security for products by performing threat modeling, manual secure code reviews, and penetration testing. Collaborate with engineers to remediate defects, build AppSec automation and tooling, secure cloud/containerized applications, and drive bug-bounty responses to harden platform security.

Lead technical marketing for Falcon Secure Access by creating demos, labs, workshops, and technical content that translate secure access, browser security, Zero Trust, and AI security capabilities into market-facing messaging, sales enablement, and go-to-market strategy. Collaborate cross-functionally to drive adoption and competitive differentiation.

Perform application security assessments across CrowdStrike products: threat modeling, code review, penetration testing, and secure design guidance. Build automation and tooling, respond to bug bounty reports, and collaborate with engineering to remediate defects and harden cloud-native, containerized applications.

Lead technical security strategy and implementation for Managed Services platforms. Design and improve security controls, IAM, PAM, vulnerability management, incident response, and compliance. Embed secure-by-design and DevSecOps practices, mentor engineers, and partner with architecture, engineering, and operations to reduce risk and enable scalable growth.

Partner with sales to design and present data security solutions for SLED customers. Lead technical evaluations, gather requirements, build test plans, configure proof-of-concepts, and guide customers to successful outcomes while collaborating across GTM teams.

Lead AI security strategy and guardrails, design and review AI gateways and tooling, scale InfoSec review processes, reduce AI-driven security noise, drive remediation and investigations, and mentor security and platform engineers.

Design, implement, and maintain security controls across cloud (AWS) and on-prem systems. Lead vulnerability management, incident response, and remediation. Serve as SME for SIEM, SAST/DAST, IAM. Embed security in SDLC, support SOC 2/ISO 27001 audit readiness, mentor junior engineers, and recommend control improvements.

Lead MSSP-focused sales to recruit, enable, and grow managed security provider partners. Drive joint services, partner-led customer adoption, revenue attainment, forecasting, and cross-team issue resolution while meeting quotas and pipeline targets.

Lead and grow an enterprise Sales Engineering team in the Northeast, recruit and coach SEs, collaborate cross-functionally, drive technical sales campaigns and escalations, maintain AW platform knowledge, engage prospects and executives, and represent Arctic Wolf publicly at events.

The role involves leading security initiatives, building security tools, conducting vulnerability assessments, and collaborating with teams to enhance cloud security and risk management.

Lead research to detect Windows threats and develop sensor/telemetry capabilities. Collaborate with engineering and product teams to implement detections, investigate false positives/negatives, apply AI to research workflows, produce technical documentation, and mentor others while promoting the company externally.

Perform hands-on application and system security assessments: discover and validate vulnerabilities, develop proof-of-concepts and custom tooling, conduct threat modeling and architecture reviews, and communicate clear remediation guidance to clients while contributing to security research.

Lead field-facing AI security strategy by advising enterprise customers on secure LLM/RAG deployments, delivering demos and POVs, shaping product roadmap with engineering, and creating enablement assets to scale AI security adoption.

The Staff Security Engineer will lead technical security initiatives, own architectural security decisions, mentor engineers, and align teams on security strategy while ensuring system integrity and compliance.

Lead design and delivery of scalable, secure platform and identity services; build data-platform and security troubleshooting applications; define architecture and standards; mentor senior engineers; partner with product, security, and business teams to enable observability, analytics, automation, and long-term platform strategy.

Provides multidisciplinary security support for Special Access Programs, SCI, and collateral activities. Ensures compliance with NISPOM, DoD, DCID, ICD, and SAP policies; develops security procedures and training; assesses vulnerabilities and risks; oversees facility compliance reviews and corrective actions; briefs personnel; and investigates classified-information losses or compromises. Requires SAP experience, current TS/SCI clearance, and ability to obtain TS/SCI with CI polygraph.

Supports cybersecurity governance and compliance for a DoD Azure-based DevSecOps environment. Manages RMF, A&A, ATO, eMASS artifacts, control inheritance, risk assessments, audits, vulnerability remediation, incident response, and security policies. Guides engineering teams on NIST, CMMC, Zero Trust, and DoD Cloud SRG requirements while coordinating with authorizing officials, auditors, government stakeholders, and mission partners. Delivers security briefings and awareness training and promotes secure development practices.

Provides multidisciplinary security support for Special Access Programs, SCI, and classified activities. Ensures compliance with NISPOM, DoD, DCID, ICD, and SAP policies; assesses vulnerabilities and risks; develops procedures and training; conducts facility compliance reviews; tracks corrective actions; investigates potential compromises; and briefs government, military, and industry personnel. Requires extensive travel within the organization’s geographic area of responsibility.

Lead architecture and scaling of an automated, AI-driven vulnerability detection and remediation platform across cloud, containers, and applications. Correlate SAST/DAST/SCA findings, implement AI-assisted triage, run red/purple team validation, and build automated remediation pipelines integrated into CI/CD for continuous compliance and risk reduction.

Lead product strategy and execution for security, compliance, and public-sector capabilities in MongoDB Atlas for Government. Translate FedRAMP/DoD/NIST requirements into roadmaps, drive multi-team programs, align senior stakeholders, enable audit readiness, and support market expansion and GTM for regulated industries.

Provides multidisciplinary security support for Special Access Programs, SCI, and collateral activities. Ensures compliance with NISPOM, DoD, intelligence, and SAP policies; identifies vulnerabilities and risks; develops procedures and Operations Security training; conducts facility compliance reviews; tracks corrective actions; briefs personnel; investigates potential classified-information compromises; and coordinates security education and lessons learned.

Partner with engineering, compliance, and security teams to embed application security into the SDLC: triage static/SCA alerts, advise on OWASP Top 10 remediation, maintain developer playbooks and training, track security metrics and evidence for audits, and help shape AI governance and GenAI-safe workflows.