• Set the engineering vision and multi-quarter roadmap across teams working on proprietary scanners, AI-driven security workflows, research functions, vulnerability management, and security foundations. • Lead a distributed engineering organization of managers and individual contributors, with a focus on team performance, engagement, and career development. • Drive architectural decisions for AI and machine learning detection engines, agentic remediation flows, and scalable scanning infrastructure. • Partner with product management to define priorities, shape requirements, and deliver security capabilities for customers in regulated and security-conscious environments. • Own the engineering delivery of GitLab’s proprietary application security scanners, agentic remediation workflows, and AI Security Research efforts. • Represent the Security Factory stage in cross-functional planning, executive reviews, security disclosures, and customer conversations. • Establish engineering standards for delivery, observability, incident response, scanner quality, and code quality. • Contribute to GitLab’s transparent, async-first way of working through issues, merge requests, and the GitLab handbook.

• Design and develop comprehensive, classroom-based courses utilizing federal aviation security standards. • Adapt and tailor U.S. best practices for aviation security curricula to fit specific legal authorities, operational environments, language requirements, and capability levels. • Instruct partners on identifying, assessing, and neutralizing security risks. • Design practical frameworks and case studies regarding airspace risk management. • Execute short-term Temporary Duty (TDY) travel to partner nations to deliver workshops. • Write and submit timely, high-quality technical reports, work plans, and assessments.

• As a Security Engineer (Red Team), you will help Pindrop proactively identify and exploit weaknesses across product, cloud, and AI-powered systems so we can strengthen defenses before adversaries do. • Design and execute red team operations against Pindrop’s GenAI systems, LLM pipelines, RAG architectures, autonomous agents, APIs, SaaS products, and cloud environments, simulating real-world attacks across both traditional and AI-specific attack surfaces. • Conduct adversarial testing focused on prompt injection, indirect prompt attacks, jailbreaking, model extraction, training-data poisoning, data leakage, inference abuse, and unauthorized output manipulation. • Use deepfake generation, voice synthesis, and related spoofing techniques to test and attempt to defeat Pindrop’s voice authentication and deepfake detection capabilities, helping identify model robustness and detection gaps. • Develop novel attack chains that combine GenAI vulnerabilities with infrastructure, application, identity, and API weaknesses to create realistic end-to-end threat scenarios. • Plan and execute full-scope penetration tests and support bug bounty efforts across Pindrop’s web applications, APIs, SaaS products, and AWS/GCP environments using commercial and open-source offensive tooling. • Perform architecture reviews, security code reviews, and threat modeling with emphasis on vulnerabilities introduced by AI/ML components, model integrations, and LLM-facing services. • Build automation for offensive security workflows, testing, compliance checks, alerting, and reporting using Python or similar scripting languages, including AI-native attack tooling where useful. • Partner closely with SecOps and security engineering to improve detections, tune response workflows, and translate red team findings into practical remediation and defensive improvements. • Stay current on GenAI security research, adversarial ML techniques, evolving threat intelligence, and relevant regulatory developments, then apply those insights to Pindrop’s security program.

• Client Consultation: Meet with clients to evaluate their eligibility for SSI/SSDI benefits, discuss case strategy, and prepare them for the disability hearing process. • Application & Appeals Assistance: Assist clients throughout the Social Security Disability claims and appeals process, ensuring applications and supporting documentation are accurate, complete, and positioned for success. • Hearing Representation: Represent clients during hearings before Administrative Law Judges (ALJs), advocating on their behalf throughout the appeals process. • Evidence Gathering: Review and analyze medical records, employment history, vocational evidence, and other supporting documentation to strengthen disability claims. • Legal Research: Stay informed on SSA regulations, policies, and relevant case law to effectively advocate for clients and provide sound legal guidance. • Communication: Serve as the primary legal point of contact for clients while communicating with the Social Security Administration and other agencies as needed. • Advocacy: Passionately advocate for individuals living with disabilities, ensuring they receive the benefits they deserve. • Technology & Case Management: Utilize cloud-based legal technology, digital case management systems, Google Workspace, Slack, and AI-assisted tools to efficiently manage caseloads in a fully remote environment. • Collaboration: Partner closely with case managers, legal support staff, and fellow attorneys to deliver exceptional client service and achieve successful outcomes.