Jobs at Cellebrite

Own production health for Cellebrite’s cloud platform through incident response, monitoring and observability improvements, rolling upgrades, change management, and on-call support. Investigate production issues, coordinate incident response, improve alerting and runbooks, collaborate with support and R&D teams, and apply AI/ML tools to anomaly detection and incident triage.

Sell mobile and digital forensics hardware, software and services to SOCOM and related defense agencies; develop strategic account plans, build pipeline, engage resellers and system integrators, forecast sales, present proposals, and represent Cellebrite at events to meet revenue targets.

Sell digital intelligence hardware, software, and training solutions to state and local law enforcement agencies across the Northeast. Build pipelines, develop strategic account plans, manage procurement and contracting cycles, conduct competitive analysis, forecast sales, present proposals, expand accounts, and coordinate with resellers, executives, engineering, and marketing. Maintain customer relationships, attend industry events, and achieve revenue objectives while serving as a trusted advisor to public-sector customers.

Serve as the technical bridge between Corellium and elite security researchers: deliver demos, map reverse-engineering workflows to Corellium APIs, lead PoC evaluations bypassing anti-debugging protections, gather competitive intelligence, and provide product feedback. Requires deep mobile internals, reverse-engineering, scripting, and virtualization knowledge, with frequent travel throughout the Asia Pacific region.

The role involves researching vulnerabilities in iOS devices, developing capabilities to extract evidence, and collaborating with a team to solve security challenges in digital intelligence.

Reverse engineer, debug, develop, and test virtual iOS devices on a proprietary hypervisor. Port new iOS versions, build virtual peripherals/drivers, optimize performance and reliability, create automated test infrastructure, collaborate with hardware modeling, QA, and product teams, and produce internal technical documentation.

Build and maintain AWS-based AI infrastructure and services for ML workflows and real-time inference. Implement CI/CD pipelines, integrate LLM/GenAI components, ensure observability, write high-quality code, collaborate cross-functionally, and prototype ML algorithms to turn forensic data into investigation leads.