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Salary
$65k – $171k per year (Estimated)
Location
In office (Amsterdam)
Seniority
Staff
Overview
Company
Impact
Profile match
Uber is an American mobility and delivery company founded in San Francisco in 2009 that connects independent drivers and couriers with riders and customers through its apps. It operates ride hailing in thousands of cities, a food and grocery delivery business built on the same courier network, a freight brokerage matching shippers with carriers, and an advertising business that sells placement inside those apps. Listed on the New York Stock Exchange since 2019, the company reached sustained profitability in the mid 2020s and now partners with autonomous vehicle developers rather than building self-driving technology itself.

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.

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