Security Engineer – Manager

• Define and own the strategy and roadmap for the unified remote workspace covering collaboration, productivity tools, identity, and zero-trust access
• Integrate AI capabilities into the workspace securely and with strong data protection
• Set organizational OKRs and report progress, risks, and security posture to senior leadership
• Own the enterprise collaboration platform, including instant messaging, meetings, calendar, and desktop/mobile clients
• Lead the productivity tool suite and integrate AI features such as summarization and meeting transcription
• Build and grow open platforms and APIs for internal teams, partners, and bots
• Own a global zero-trust access platform for employees, services, and AI agents
• Evolve SSO and IAM toward service identity, fine-grained authorization, and internal network segmentation
• Securely enable enterprise AI agents and assistants through agent identity, delegated authorization, and human-in-the-loop controls
• Ensure security by default, including endpoint/mobile DLP, credential protection, auditing, and data isolation
• Oversee offensive security, vulnerability management, and incident response
• Build engineering, product, and support leadership; develop technical owners
• Evolve the organization toward use-case-based dynamic project teams
• Drive AI adoption and modern engineering practices, including AI-assisted development
• Recruit, mentor, and retain talent; establish evaluation standards and career paths

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field
• 10+ years of software or security engineering experience
• 5+ years leading multi-team organizations as a manager of managers
• Proven track record building and operating large-scale platforms in enterprise collaboration and communication, identity and access management, or zero-trust networking
• Deep security expertise in zero-trust architecture, IAM and OAuth-based authorization, secrets management, encryption, offensive security, vulnerability management, and incident response
• Understanding of AI's impact on enterprise workspaces and security implications of AI assistants and agents
• Strong technical depth across backend services, clients, and networking
• Proficiency in Go, Java, or Python
• Experience leading distributed, fully remote teams across time zones
• Excellent communication skills with executives, engineers, and non-technical stakeholders
• Preferred: Experience building enterprise products for internal teams and external partners
• Preferred: Background in real-time communication, such as audio/video or end-to-end encrypted messaging
• Preferred: Experience building open platforms or developer ecosystems

• Competitive salary and company benefits
• Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)
• Opportunities for career growth and continuous learning
• Collaboration with world-class talent in a user-centric global organization
• Autonomy in an innovative environment
• Equal opportunity employer