Engineering Manager II - AI & Security

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. W

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. Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuelds progress. What moves us, moves the world - let's move it forward, together. Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role. *Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to accommodations@uber.com .