• Implement secure configurations across AWS, GCP, Azure, Oracle Cloud • Manage IAM policies and least privilege access • Monitor alerts from CSPM tools • Handle phishing analysis and response • Monitor alerts across SIEM, EDR, CSPM

• Work closely with engineering teams to design secure solutions • Serve as a security subject matter expert • Lead threat modeling discussions • Empower engineering teams with automation and security guidance • Drive high-impact, cross-team security initiatives • Understand Stripe’s security primitives and frameworks • Mentor teammates

• Support the SCRA Lead in executing Twilio’s global security regulatory strategy • Independently interpret complex and ambiguous regulatory frameworks • Support the development and maintenance of regulatory repositories and systems of record • Execute and continuously improve the Cyber Regulation Intake & Triage process • Map regulatory requirements to internal control frameworks • Develop regulator-ready and high-quality artifacts • Identify, analyze, and escalate regulatory risks and audit obligations • Partner cross-functionally with teams • Drive execution of process improvements, tooling enhancements, and automation initiatives • Operate with high ownership and accountability

• Develop and implement automated and AI-powered security solutions to protect Twilio's Cloud and Enterprise infrastructure, leveraging data orchestration frameworks and LLM-based approaches. • Build workflows that integrate structured and unstructured data sources into orchestrated pipelines, enabling intelligent decision-making and risk reduction at scale. • Design and prototype LLM-driven applications to automate security analysis, incident response, and governance tasks, while ensuring explainability and accuracy. • Collaborate with cross-functional teams to identify security needs and deliver advanced AI-enabled solutions that address those needs effectively. • Contribute significantly to defining our security automation and AI roadmap, balancing near-term and long-term business impact with technical feasibility and scalability. • Own and maintain the operational health of automation and AI-driven systems, ensuring they continue to meet reliability and performance requirements (SLOs and KPIs). • Support on-call operations for tools, pipelines, and AI models owned by the team. • Document and share knowledge through clear technical documentation of processes, procedures, AI models, and orchestration systems. • Stay up-to-date on emerging trends in security automation, data orchestration, and AI/LLMs—and apply them to Twilio’s security operations for continuous innovation.