Staff Enterprise Security Engineer, AI Security

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.

Compensation

*Please note the salary range information provided applies only to candidates residing in California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Washington D.C., and Washington State due to local requirements. Compensation for candidates in other locations will be discussed during the hiring process. Please note that hiring for this role is not restricted to the locations listed above.

.The estimated pay ranges for this role are as follows:

• Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C. : $155,520 - $194,400.
• Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): $164.640 - $205,800.
• Based in the San Francisco Bay area, California: $182,960 - $228,700.
• This role may be eligible to participate in Twilio’s equity plan and corporate bonus plan. All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave.

The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location.

Applications for this role are intended to be accepted until December 21, 2026, but may change based on business needs.