Software Engineering Manager, Enterprise Data Protection
Indexed description
- Bachelor's degree or equivalent practical experience.
- 8 years of experience programming in Java, Python, Golang, C++ or equivalent codebases.
- 3 years of experience building software for data privacy or security (e.g., identity and access management).
- 3 years of experience in a technical leadership role.
- 2 years of experience in a people management or team leadership role.
- Master's degree or PhD in Computer Science or a related technical field.
- Experience with building, deploying and using automation for security workflows, including both AI-driven and traditional automation tools.
- Experience in managing an engineering team, with knowledge of security domains, particularly in threat modeling and data protection controls.
- Ability to manage a phased program rollout, transitioning operational ownership and scaling technical infrastructure.
- Ability to partner with global stakeholders to align team goals with broader organizational objectives.
With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally.
As the Software Engineering Manager for Enterprise Data Protection in Singapore, you will be the foundational lead for a new security team. You will act as a technical leader to hire and manage security engineers to establish our security engineering function. You will coordinate with peers in Enterprise Data Protection's software engineering team to achieve our risk reduction goals. You will lead and have the ability to drive security engineering outcomes, build and lead effective security teams, and foster a collaborative environment to achieve collective goals.
Responsibilities
- Lead a team of software engineers to implement holistic security controls across all systems at Google that process or store our intellectual property.
- Work with a wide variety of cross-functional roles within Core or Privacy, Safety & Security (PSS) and with stakeholders in our Product Areas (PAs) to implement controls that prevent or reduce the risk of data ex-filtration events.
- Define the security requirements for the next generation of security controls that are context aware and help mitigate the risk of Google's increased use of agentic AI.
- Partner with security engineers within Enterprise Data Protection to define requirements for the systems and infrastructure needed to achieve our data protection goals, including AI-based classification systems.
- Build a team in Singapore that has excellent culture and engineering standards.
Create a free Caio profile to unlock more results and save your role and location preferences.
Unlock free search