Member of Technical Staff – Security
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Job Description
First dedicated security hire responsible for building security practices at AI infrastructure company. Defining company-wide security strategy and collaborating with engineering and research teams.
Responsibilities:
- Own threat modeling across our entire surface area: multi-tenant training infrastructure, sandboxed execution environments, API surfaces, and internal tooling
- Design and implement zero-trust networking, identity, and access control across distributed GPU clusters and cloud infrastructure
- Build secure-by-default patterns for our platform engineers — auth, secrets management, supply chain integrity, container hardening
- Architect tenant isolation and data boundary enforcement for hosted RL training workloads (customers run arbitrary code in our environments)
- Develop security frameworks specific to AI infrastructure: model weight protection, training data isolation, checkpoint integrity, gradient privacy
- Secure the RL training loop end-to-end — from environment execution in sandboxes to reward signal verification and model artifact storage
- Build detection and prevention for AI-specific attack vectors: prompt injection across agentic pipelines, model exfiltration, adversarial environment manipulation
- Scope, manage, and run point on external penetration tests across our platform, hosted training infrastructure, and liquid compute layer
- Build and maintain an internal red-teaming practice — automated and manual — targeting our most critical systems
- Drive vulnerability management: triage, remediation SLAs, and root cause analysis
- Build security monitoring and alerting across infrastructure (distributed clusters, Kubernetes, cloud) and application layers
- Implement runtime security for containerized training workloads and sandboxed environments
- Own incident response — build the playbooks, run the drills, lead the post-mortems
- Design audit logging and forensic capability across all customer-facing systems
- Drive SOC 2 Type II readiness and other compliance frameworks required by enterprise customers
- Own the security narrative for customer-facing materials — questionnaires, architecture reviews, trust documentation
- Partner with GTM to unblock enterprise deals that depend on security posture.
Requirements:
- 5+ years in security engineering, infrastructure security, or offensive security roles
- Deep experience with cloud security (GCP preferred), Kubernetes security, and container runtime hardening
- Hands-on ability to read, write, and audit code in Python and Rust (or strong systems-level language)
- Experience with network security in distributed systems — service mesh, mTLS, network segmentation across heterogeneous hardware
- Proven track record managing external penetration tests and translating findings into engineering action
- Strong fundamentals in cryptography, identity/access management, and secure software development lifecycle.
Benefits:
- Cash Compensation Range of $180-350k+ with significant equity incentives
- Flexible work arrangement (remote or San Francisco office)
- Full visa sponsorship and relocation support
- Professional development budget for courses and conferences
- Regular team off-sites and conference attendance
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