Top Tech Jobs & Startup Jobs

The Software Engineer Intern will design, develop, and deploy backend services and APIs, participate in software development activities, write clean code, and troubleshoot issues.

The Threat Detection Engineer will develop detection rules, analyze security logs, enhance security posture, and collaborate with Security Analysts.

Provide operational support to the field sales team by maintaining CRM hygiene, owning reporting and dashboards, managing Google deal registrations, producing and turning around SOWs, driving lead and deal flow, and supporting deal desk/CPQ and pricing processes.

Own scoped, time-bound professional services engagements end-to-end: shape and validate SOWs with Sales, orchestrate delivery resources, manage scope and engagement P&L, drive to formal acceptance and clean financial closure, and hand off steady-state relationships to Customer Success while improving the services catalog.

The Customer Engineer will provide pre-sales technical support, enhance customer success, and promote AI-driven security solutions while collaborating across teams and requiring travel to client sites.

As a Full Stack Engineer, you will design, develop, and deploy backend services and user-friendly frontend applications while collaborating with the team to implement new features and improve processes.

Administer and secure IT systems and cloud environments (primarily Google Workspace/GCP). Manage identity, availability, and performance; maintain security tools (EDR, SIEM, firewalls, ZTNA); harden systems; integrate DevOps security and automation using scripts and APIs; provide expert technical support; and develop security policies and automated workflows to improve organizational and customer security posture.

Responsible for executing the intelligence lifecycle, analyzing threats, producing reports, and collaborating across teams to enhance cybersecurity defenses.

Design, build, and productionize scalable AI systems for autonomous detection, RAG-backed investigations, and auto-remediation. Develop LLMs, graph-based reasoning engines, streaming pipelines, evaluation/red-team processes, and collaborate with cross-functional teams to translate attacker behavior into robust detections.

Design, develop, and productionize scalable AI systems for autonomous threat detection and response. Build LLM-based reasoning engines, graph-based analytics, streaming feature pipelines, orchestration frameworks, and evaluation/reliability tooling. Collaborate with product, detection engineering, and customer teams to translate attacker behavior into robust ML and rule-based detections.