Conduct security design reviews and threat modeling for AI agents and agentic systems, evaluating risks across models, tools, data, permissions, external integrations, and runtime behavior.
Design and build AI-powered automation for security design reviews, threat modeling, penetration testing, and vulnerability validation, increasing the scale, frequency, and depth of Offensive Security assessments.
Partner with engineering and security teams to translate offensive security findings into systemic improvements, helping eliminate vulnerability classes and strengthen security controls across Uber’s technology ecosystem.
Perform multi-disciplinary security design reviews of engineering proposals, analyzing cloud, infrastructure, application, and data-layer security.
Navigate complex design trade-offs to provide corrective guidance that improves the overall security posture of Uber’s products and services.
Collaborate with engineering teams across the company to analyze design documents and identify potential flaws before they reach production.
Translate technical security findings into actionable guidance for both engineering and non-technical stakeholders to ensure alignment and impact.
Conduct comprehensive security assessments, including threat modeling for web and mobile applications, to identify and mitigate risks at scale.
Champion engineering best practices and serve as a security ambassador, helping teams move fast while building with integrity and care.
Basic Qualifications
7+ years of professional experience in security engineering, threat detection, or client platform engineering.
Demonstrated ability to independently analyze complex, large-scale system designs, identify security risks and attack paths, and drive technical solutions across multiple services, systems, and dependencies.
Deep knowledge of threat modeling, vulnerability discovery and classification, security risk assessment, and offensive security methodologies, with experience applying them to complex production environments.
Extensive experience assessing the security of cloud-native services, microservices, distributed systems, APIs, or other large-scale production environments.
Proven ability to lead complex security assessments and influence engineering teams to implement security improvements across organizational and technical boundaries.
Experience applying AI/LLMs, agents, or automation frameworks to security testing, vulnerability discovery, threat modeling, or other security engineering workflows.
Hands-on experience conducting penetration testing of complex applications, services, APIs, and infrastructure, including identifying, validating, and demonstrating exploitable vulnerabilities and attack paths.
Preferred Qualifications
Master’s degree or PhD in a technical field and 10+ years of experience in a cybersecurity leadership or staff-level role.
Deep knowledge of Cybersecurity, Compliance, and Privacy, with experience chaining vulnerabilities and quantifying risks.
Experience collaborating with EMs, TPMs, and PMs on prioritization, headcount planning, and technical evaluation of team members.
Advanced expertise in leveraging AI/ML for security use cases and building device attestation or trust tooling at a global scale.
Strategic relationship builder: Proven ability to leverage collaborative relationships with legal, product, and engineering stakeholders to build trust and accomplish work.
For San Francisco, CA-based roles: The base salary range for this role is USD $232,000 per year - USD $258,000 per year.
For Seattle, WA-based roles: The base salary range for this role is USD $232,000 per year - USD $258,000 per year.
For Sunnyvale, CA-based roles: The base salary range for this role is USD $232,000 per year - USD $258,000 per year.
For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits.
