AI Security & Trust Engineering Manager

About 3E:

3E is a mission-driven company dedicated to creating a safer and more sustainable world. We offer award-winning regulatory intelligence and AI solutions to help organizations protect people and products. With over 35 years of experience and a global presence, we empower our customers with innovative compliance solutions.

You will get to work at a company that combines startup agility with the stability of an industry leader. Partner with enterprise customers and global experts to advance environmental safety and solve complex data science challenges.

Join us and make an impact!

3E is looking for an AI Security & Trust Engineering Manager to help build a company-wide trust engineering capability across our technology organization.

This is not a traditional security manager role, and it is not a compliance-only role. The person in this seat will not simply manage a ticket queue, own audits, or wait for other teams to ask for help. This role is for someone who can drive security and trust outcomes through teams they do not directly manage.

You will work across Engineering, AI, Platform, Infrastructure, Digital Workplace, Security, Compliance, HR, Legal, and Product to make trust part of how 3E builds and operates. The goal is to turn security, AI governance, assurance, identity, and vulnerability work into repeatable systems — not one-off projects or heroics.

The strongest candidate will have real technical depth in security, infrastructure, platform engineering, or AI-enabled engineering, plus the operating maturity to influence peer teams, create clarity, and move work forward without formal authority.

If you're energized by solving complex problems, embracing emerging technologies, and helping organizations adopt AI responsibly and securely, we'd love to hear from you.

As the AI Security & Trust Engineering Manager, you'll create and lead a virtual Trust Engineering capability across 3E.

Working alongside Engineering, AI, Product, Infrastructure, Security, Compliance, Digital Workplace, HR, and Legal teams, you'll ensure trust becomes an integrated part of how we build—not an afterthought.

You will:

• Drive security and trust work through Engineering, AI, Platform, Infrastructure, Digital Workplace, Security, and Compliance teams.
• Influence teams that do not report to you by aligning priorities, creating clarity, and making trust work easier to execute.
• Help operationalize AI governance, security assurance, identity controls, vulnerability remediation, and customer trust practices.
• Turn manual security and trust work into durable systems, automation, metrics, and reusable operating models.
• Partner with technical teams to embed security and trust controls into engineering platforms, CI/CD, delivery workflows, identity systems, endpoint tooling, and AI-enabled workflows.
• Build or guide AI-enabled workflows, agents, automations, or systems that reduce manual work and improve security operations.
• Support continuous assurance for SOC 2 and ISO 42001, with emphasis on automation, evidence collection, and operating discipline — not just audit participation.
• Help mature engineers from task-based execution to platform and systems thinking.
• Communicate risk in plain business language to technical and executive stakeholders.
• Establish operating cadence, ownership models, decision rights, metrics, and leading indicators for trust outcomes.

• 6+ years in security engineering, infrastructure engineering, platform engineering, AI engineering, cloud engineering, or a closely related technical role.
• Experience delivering system-level outcomes
  , not just completing isolated security tasks or supporting one-off audits.
• Experience working directly with Engineering, Dev Sec Ops , Platform, Infrastructure, Security, Compliance, or AI teams.
• Experience integrating security or trust controls into engineering platforms, delivery workflows, CI/CD, identity systems, endpoint environments, or operational tooling.
• Strong understanding of vulnerability management, identity/security tooling, security operations, and how security work moves through technical teams.
• Experience driving outcomes through people who do not report to you.
• Ability to create ownership models, operating cadence, metrics, and follow-through across multiple teams.
• AI fluency beyond personal productivity use. You should be able to discuss AI-enabled workflows, agents, automation, governance, and human oversight.
• Ability to explain complex technical risk in business terms without relying on jargon.
• Practical leadership style: systems over heroics, automation over toil, clarity over chaos.

• Built or helped operate AI-enabled security, engineering, infrastructure, support, or compliance workflows.
• Built automation, agents, scripts, internal tools, or systems that replaced manual security or engineering work.
• Worked with AI security risks such as prompt injection, agent risk, non-human identity risk, AI supply-chain risk, or…