Security Engineering Manager, London or Lausanne

Overview

As Security Engineering Manager, you will build and lead a security engineering team at the AI-first frontier, shaping the security roadmap for our pioneering digital biology platform. You will translate scientific and business objectives into enterprise-grade security solutions, enabling fast ML research and drug discovery while maintaining strong risk governance. You’ll operate within a high-growth, Alphabet-backed environment to implement robust, scalable security architecture that enables velocity. This role offers a chance to influence security at the intersection of cutting-edge biology and AI, with a collaborative, impact-focused culture.

Pay / Benefits

• hybrid working
• team-driven culture
• Alphabet ecosystem backing
• opportunity to impact frontier AI in life sciences
• collaborative, high-growth environment
• inclusive culture and equal opportunity

Responsibilities

• Mentor and scale a security engineering team to high impact delivery
• Own and co-design the long-term technical security strategy (IAM, cloud/network security, Secure SDLC, security monitoring)
• Lead transformation projects supporting frontier ML models and therapeutics
• Oversee cloud and platform security leveraging AI and automated posture management
• Develop KPI-driven security roadmaps and reporting to executives
• Partner with medical and ML teams to maximize velocity while ensuring secure compute environments
• Serve as technical liaison with Alphabet/Google ecosystem and security vendors
• Act as senior escalation point for security incidents and architectural vulnerabilities

Key requirements

• Engineering leadership in fast-paced scale-ups or high-growth tech organizations
• Deep experience defining security architectures across complex, multi-tenant cloud systems
• Industry exposure to AI/ML and life sciences security requirements
• Detail-oriented with ability to translate strategy into concrete implementation
• Bias for automation, scalable AI-enabled security workflows
• Strong cloud engineering background (GCP preferred), Kubernetes/Docker, Zero Trust
• Strong business and risk acumen for data-driven, agile decision making
• Excellent translational communication skills for executives and non-security stakeholders
• Nice to have: experience securing ML training lifecycles, model weights protection, guardrails for autonomous workflows
• Nice to have: ISO/IEC frameworks, privacy/regulatory familiarity (GxP, FDA, EU AI Act)
• Nice to have: Python or Go, Terraform, CI/CD security tooling, cloud security certifications (CISSP/CISM/OSCP)

• Translational communication
• Detail-oriented
• Strategic thinking
• AI and automation for security
• Cloud security (GCP)
• Kubernetes and Docker

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