About the company
At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences.
Our dedication to remote-first work, and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands.
Responsibilities
- Design and implement secure reference architectures for Enterprise AI platforms that secures every Twilion’s engagement with them, ensuring data integrity, regulatory compliance, and resilience against evolving AI threats.
- Establish a definitive framework for AI vetting, driving the cultural and policy shifts needed to institutionalize this strategic mindset across the organization.
- Collaborate with cross functional partners to develop and set the long term roadmap for agentic AI identity and posture management, ensuring cohesive strategies for reducing risk from agentic AI use.
- Maintain and improve our enterprise security posture through high-quality code (Python, Go, or similar) and infrastructure management via IAC.
- Act as a technical mentor to junior engineers and a strategic advisor to leadership on the evolving AI landscape.
Requirements
- 7+ years of experience in security engineering or infrastructure security
- 2+ years of experience leading teams in a technical capacity/staff engineering capacity at an enterprise.
- Expertise in cloud security (AWS, GCP) and container security (Kubernetes).
- Proven track record of designing and deploying complex security systems at scale.
- Strong proficiency in programming languages such as Python, Go, or Java.
- Experience in building, deploying and reviewing automation for complex security workflows, including use of both AI-driven and traditional automation tools.
- Excellent communication skills with the ability to explain complex AI security risks to non-technical stakeholders.