About the job
The purpose of the Ops Trust team is to manage privacy and AI compliance for the Worldwide Operations (WW Ops) Organization. The candidate acts as an AI/privacy subject matter expert and works with legal and developers to support our strategic vision. The candidate understands technicalities of developing software applications as well as legal privacy and AI requirements and can ensure that applications technically align to these legal requirements.
Responsibilities
Expert on requirements for holistic assessment of AI safety risks focusing on areas like privacy, fairness, and robustness.
Drive the development and implementation of Privacy by Design solutions. Develop PbD technical architecture for applications.
Create solutions for AI safety standards and assist builders through implementation.
Work with builders and developers to conduct in depth privacy and AI risk reviews and guide builders through their design, ensuring that appropriate obligations are met.
Maintain a strong understanding of privacy and AI regulatory developments and standards.
Manage multiple projects simultaneously with a sense of urgency.
Comfortable dealing with ambiguity and using data to drive results.
Autonomously perform operational deep dives on AI related processes and systems and engineer mitigating measures to produce scalable solutions.
Work collaboratively with internal stakeholders across WW Ops, Legal, and federated privacy and AI compliance teams to ensure privacy and AI safety are is considered in projects and decisions.
Qualifications
Minimum
3+ years of programming in Python, Ruby, Go, Swift, Java, .Net, C++ or similar object oriented language experience
2+ years of scripting, programming, and security code review in a common programming language (non-internship) experience
2+ years of troubleshooting systems issues, analyzing logs, or automating basic tasks using command line tools (non-internship) experience
Bachelor's degree in computer science or equivalent
Bachelor's degree in a STEM field (Science, Technology, Engineering, Mathematics), or experience in IT Security
Bachelor's degree in a STEM field (Science, Technology, Engineering, Mathematics), or 2+ years of IT Security experience
Knowledge of networking protocols such as HTTP, DNS and TCP/IP
Knowledge of industry-based security vulnerabilities and remediation techniques
Experience in scripting, programming, and security code reviewing in a common programming language (non-internship)
Experience in troubleshooting systems issues, analyzing logs, or automating basic tasks using command line tools (non-internship experience)
Preferred
2+ years of any combination of the following: threat modeling experience, secure coding, identity management and authentication, software development, cryptography, system administration and network security experience
2+ years of scripting, programming, or security code review in a common language, such as Python, Java or C++ experience
Knowledge of command line tools to troubleshoot protocols, analyze log outputs, or automate basic tasks
Knowledge of networking protocols such as HTTP(S), DNS, and TCP/IP
Knowledge of networking protocols, to include HTTP(S), DNS, and TCP/IP
Experience with AWS products and services
Experience with programming languages such as Python, Java, C++
Experience in scripting, programming, or security code reviewing in a common language, such as Python, Java, or C++
Experience performing security activities across one or more phases of the software development lifecycle (SDLC), such as security design review, threat modeling, secure code review, and security testing