Jobs at Synack

Serves as a technical advisor and customer advocate for penetration-testing engagements. Defines testing scope and rules of engagement, analyzes attack surfaces and security programs, guides researchers, reviews assessment quality, explains technical findings, manages escalations, and helps customers optimize long-term pentesting programs. Partners with account and customer success teams to retain and grow accounts while delivering strategic cybersecurity solutions.

Designs and delivers scalable AI-centric software for offensive security, including agentic vulnerability detection, automated penetration testing, workflow optimization, and threat intelligence. Owns features from ideation through deployment and monitoring, contributes to architecture and testing, and collaborates across teams. Requires Python or Go, AI technologies, microservices, APIs, messaging, databases, Docker, Kubernetes, and cloud experience.

Own strategy, roadmap, and delivery for the Sara AI product suite. Partner with engineering, customers, sales, and marketing to launch AI-driven security features, monitor model efficacy, and drive adoption while representing the product to analysts and customers.

Lead SDET work validating Synack's PTaaS platform by designing and maintaining automated test frameworks, writing integration and frontend tests (Playwright), debugging multi-tier web systems, improving CI, collaborating with engineers and customers to reproduce issues, and enhancing developer productivity with internal tools.

Lead design and implementation of scalable AI-centric systems for offensive security, develop agentic AI capabilities (LLMs, RAG), own feature lifecycle to production, mentor engineers, run design reviews, and integrate AI into microservice architectures with cloud, container, and messaging technologies.

Lead design and implementation of scalable AI-centric systems for offensive security. Develop agentic AI capabilities for vulnerability identification and automated pentesting, own feature delivery from ideation to production, mentor engineers, run design/code reviews, and collaborate cross-functionally to integrate AI into platform systems.