Responsibilities
- Own the security posture of cloud infrastructure, data systems, and AI-enabled applications across product surfaces
- Influence data, ML, and infrastructure team roadmaps and drive alignment on security priorities without direct authority
- Partner with engineering and product teams to embed security into system design and development workflows
- Lead and grow a team of security engineers, setting a high bar for technical execution, ownership, and impact
- Define and execute strategy for securing cloud-native architectures and sensitive data at scale
- Establish guardrails and secure design patterns for AI adoption, including safe integration of third-party and internal AI systems
- Identify and mitigate risks related to AI systems, including prompt injection, data leakage, and misuse of models or APIs
- Build scalable controls and automation around identity, access, encryption, and data protection
- Operate effectively within a POD model, shifting focus across security domains based on business needs
- Lead and support response efforts for security incidents related to cloud, data, and AI risks
Requirements
- 5+ years of experience in security engineering, with significant experience in cloud and/or data security
- 2+ years of experience managing or leading security engineers
- Strong understanding of cloud platforms (AWS, GCP), Infrastructure as Code (IaC), and modern infrastructure patterns
- Experience designing or securing systems that handle sensitive or regulated data
- Experience securing or evaluating AI/ML systems, or demonstrated ability to operate effectively in ambiguous and emerging security domains
- Strong technical judgment and the ability to go deep in architecture and security discussions when needed
- Experience operating in fast-paced, product-driven environments with shifting priorities
- Strong communication skills with the ability to translate security risks into business impact
Compensation
Base salary $152,000 - $210,000, plus bonus, equity, and benefits.