# Staff Enterprise Security Engineer, AI Security

**Company**: Twilio
**Location**: Remote - US
**Work arrangement**: remote
**Experience**: staff
**Job type**: full-time
**Salary**: $155,520 - $194,400
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/twilio/jobs/8160279?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_28d8bb6f-4dd

## Description

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.

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.

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:

- 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: Remote - US

Compensation: 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.

Benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave.

## Skills

### Required
- security engineering
- infrastructure security
- cloud security
- container security
- Python
- Go
- Java

### Nice to have
- automation
- AI-driven tools
- communication skills

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/twilio/jobs/8160279?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)