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Lead and grow a high-performing team of software engineers and applied scientists, setting a high bar for execution, technical rigor, and collaboration
Define and drive the roadmap for security and AI-driven systems, translating ambiguous problem spaces into clear priorities and deliverables
Build intelligent systems that automate detection, classification, and remediation of risks across code, data, and infrastructure
Secure AI-powered applications through continuous evaluation, monitoring, and defense against emerging threats (e.g., prompt injection, data leakage, model misuse)
Partner with infrastructure, data, and product teams to embed security controls and signals into the developer ecosystem
Scale systems and processes that improve security posture while maintaining developer velocity
Requirements:
Proven engineering leadership experience managing teams in platform, infrastructure, or related domains at scale
Strong ability to operate in ambiguous problem spaces and translate them into clear technical direction
Working knowledge of security fundamentals (e.g., access control, data protection, secure system design), with the ability to partner effectively with domain experts
Experience building or working with ML/AI-driven systems
Track record of shipping and scaling production systems
Strong collaboration and communication skills across engineering, product, and security stakeholders
Nice to have:
Experience working in security, privacy, or trust-related domains
Familiarity with LLMs or GenAI systems in production
Background in large-scale distributed systems, data platforms, or risk detection systems