Apollo Research

Apollo Research is hiring a Product Security Engineer to own the security posture of Watcher, its production coding-agent security product. The role combines hands-on application, cloud, and product security engineering with customer-facing security strategy and incident communications.

Apollo Research is hiring an AI Red Team Engineer to uncover novel attack surfaces in AI monitoring systems and turn adversarial findings into stronger defenses. The role combines offensive security research, automated red-teaming pipelines, and close collaboration with control researchers and product engineers.

Apollo Research is hiring an AI Security Researcher to protect internal systems, agent infrastructure, and AI-enabled workflows through offensive security research and durable remediation. The role combines red teaming, threat modeling, detection engineering, and security control development in a frontier-AI environment.

Own end-to-end customer deployments of Watcher, a coding-agent security product, from technical evaluations and integrations through production rollout and white-glove support. This customer-facing engineering role combines hands-on implementation, custom capability development, and product feedback without carrying a sales quota.

Build and scale Watcher, a coding-agent security product, as a full-stack engineer owning features from customer conversations through production deployment. You’ll work across agent integrations, real-time monitoring, data pipelines, enterprise deployments, and security controls.

Apollo Research is seeking a Senior Security Engineer to become its first dedicated security hire and own the company’s security programme end to end. The role combines hands-on security engineering, AppSec, compliance, tooling, identity management, and partner-facing security leadership.

Research Scientist/Engineer building rigorous evaluations and automated pipelines to detect scheming, misalignment, and other undesirable behaviors in frontier AI models before deployment. The role combines hands-on Python engineering, red-teaming, quantitative analysis, and collaboration with leading AI labs.