Were growing and looking to hire a Senior Manager, Software Engineering - xDome who embodies our core values: People First, Customer Obsession, Strive for Excellence, and Integrity.
About the Company:
A global leader in cyber-physical systems (CPS) protection, dedicated to securing the critical infrastructure that keeps the world running. Were a fast-growing, award-winning team where innovation meets purpose, and we want you to help us define the future of cybersecurity.
Our technology strategy is focused on solving real-world cyber-physical security problems at scale through robust, distributed, cloud-native architectures. We design and evolve a unified platform that serves as the technological backbone for all our products, delivering deep visibility across CPS environments, without disrupting critical operations. Our architecture emphasizes scalability, resilience, and extensibility to support both cloud and on-prem deployments.
About the Role:
As Senior Manager, Engineering, you will lead two core R&D teams behind Network Protection and Anomaly & Threat Detection for our flagship SaaS platform, xDome.
In this role, you will build and scale high-impact, distributed security systems while leading the design of production-grade agentic services (policy recommendations, threat triage, and guided response).
Responsibilities
As a Senior Manager, Engineering - xDome, your impact will be:
Team Leadership: Lead, mentor, and develop Team Leads and Senior Engineers into strong technical owners.
Technical Architecture: Own system coherence across stream processing, large-scale analytics, and cloud-native detection/enforcement engines.
Execution & Impact: Set high standards for quality, resilience, and security while delivering customer-facing features and AI-driven capabilities.
Cross-Functional Collaboration: Partner closely with Product, Security Research, and Platform teams to deliver a unified customer experience.
Requirements: What you need to succeed in this role:
Engineering Leadership: 4+ years of experience leading multi-disciplinary R&D teams (managing managers/leads).
Deep Technical Background: 8+ years building scalable distributed backend or data platforms in production.
Domain Expertise: Experience in at least one: Network Security, Threat Detection & Response, Security Analytics, or Industrial/Medical protocols.
Cloud-Native Stack: Strong background with modern cloud architecture (Kubernetes, Kafka, Spark/ClickHouse, CI/CD).
AI-Assisted Development: Proficiency in utilizing AI development tools (e.g., Cursor, Claude, Copilot) to accelerate engineering workflows, code generation, and problem-solving.
Communication: Strong executive communication skills with the ability to bridge roadmap strategy and deep technical design.
Bonus Points (Nice to Have):
Hands-on experience building and operating production LLM applications, agentic workflows, or natural-language interfaces.
Experience with network enforcement integrations (Firewalls, NAC) or detection stacks (IDS, MITRE ATT&CK, SOAR).
Background in cybersecurity or critical infrastructure environments.
This position is open to all candidates.