Staff Enterprise Security Engineer, AI Security

Before you apply

Job source

Ats

Applying on

job-boards.greenhouse.io

Workplace

Fully remote

US state

Nationwide remote

Category

IT

Link last checked

3 hours ago

Posted

2 months ago

Closes

No stated closing date

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About the role

Who we are  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. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions!  Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings.  . See yourself at Twilio Join the team as our next Staff Engineer, Enterprise Security  About the job As a Staff Enterprise Security Engineer, you will be a technical leader within the EntSec team, responsible for the foundational security posture of our organization. You will serve as an SME on the technical strategy and engineering execution for securing the AI ecosystem in our Enterprise, moving beyond policy into building the foundational "decision infrastructure" and technical guardrails that allow the enterprise to innovate with AI at scale. You will also guide strategic direction and collaboration across enterprise security domains. You will need a background in security engineering and the cross-functional influence necessary to solve ambiguous, large-scale problems. Leveraging expertise in security assessments,  threat modeling, identity and access control principles, and data protection, you will architect and build preventative guardrails and mitigate new risks introduced by first and third-party AI agents in our Enterprise. 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. Qualifications: Not all applicants will have skills that match a job description exactly. Twilio values diverse experiences in other industries, and we encourage everyone who meets the required qualifications to apply.  Required: 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. Desired: 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. Location This role will be remote, but is not eligible to be hired in San Francisco, CA, Oakland, CA, San Jose, CA, or the surrounding areas

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