Job Description

About the Role

We’re hiring an Engineering Manager II to lead a team at the intersection of Security and AI. This team builds systems that proactively detect, prevent, and respond to security and privacy risks across our platform.

This is a high-impact role where you will define strategy, scale systems, and lead a multidisciplinary team of engineers and applied scientists. Your work will directly influence how we secure modern application stacks, data systems, and emerging AI-powered products.

What You’ll Do

1. Lead and grow a high-performing team of software engineers and applied scientists, setting a high bar for execution, technical rigor, and collaboration
2. Define and drive the roadmap for security and AI-driven systems, translating ambiguous problem spaces into clear priorities and deliverables
3. Build intelligent systems that automate detection, classification, and remediation of risks across code, data, and infrastructure
4. Secure AI-powered applications through continuous evaluation, monitoring, and defense against emerging threats (e.g., prompt injection, data leakage, model misuse)
5. Partner with infrastructure, data, and product teams to embed security controls and signals into the developer ecosystem
6. Scale systems and processes that improve security posture while maintaining developer velocity

What You’ll Bring

1. Proven engineering leadership experience managing teams in platform, infrastructure, or related domains at scale
2. Strong ability to operate in ambiguous problem spaces and translate them into clear technical direction
3. Working knowledge of security fundamentals (e.g., access control, data protection, secure system design), with the ability to partner effectively with domain experts
4. Experience building or working with ML/AI-driven systems
5. Track record of shipping and scaling production systems
6. Strong collaboration and communication skills across engineering, product, and security stakeholders

Preferred Qualifications

1. Experience working in security, privacy, or trust-related domains
2. Familiarity with LLMs or GenAI systems in production
3. Background in large-scale distributed systems, data platforms, or risk detection systems

Why This Role Matters

Security and AI are converging rapidly. This team sits at the center of that shift—building systems that not only respond to threats, but anticipate and prevent them at scale. You’ll play a key role in shaping how modern platforms defend themselves in an AI-driven world.

Ready to Ride?

This isn't the kind of place where you follow a playbook — it's where you help write one. If you're driven by impact, energized by challenge, and ready to shape how the world moves — we'd love to hear from you.

You may be eligible for bonuses, equity, and other compensation, as well as a range of benefits. Explore our benefits.

Offices remain key to collaboration and Uber's culture. Unless approved for full remote work, employees must spend at least 50% of their time in-office. Some roles, like those at greenlight hubs, require full-time in-office presence. Ask your Recruiter for details about this role's requirements.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.