VP, Endpoint Platform Engineering

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🕒 2 days ago

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Arctic Wolf

1001 - 5000 employees

Founded 2012

The cybersecurity industry has an effectiveness problem. Every year new technologies, vendors, and solutions emerge, and yet despite this constant innovation we continue to see high profile breaches in the headlines. All organizations know they need better security, but the dizzying array of options leave resource-constrained IT and security leaders wondering how to proceed. At Arctic Wolf, our mission is to End Cyber Risk through effective security operations. To achieve this, we believe that organizations must do three key things:

📋 Description

• Join the Engineering Leadership Team and lead the vision, architecture, execution, and operational excellence of Arctic Wolf's Endpoint Platform. • Oversee a globally distributed engineering organization of more than 150 engineers, managers, architects, and technical leaders across North America and India. • Build the next generation of endpoint protection capabilities while accelerating engineering velocity, platform scalability, AI innovation, and customer value. • Define the long-term engineering strategy and technology roadmap for the Endpoint Platform. • Lead global software engineering, platform engineering, quality engineering, and site reliability teams. • Drive innovation across EDR, XDR, endpoint telemetry, behavioral analytics, identity protection, and AI-assisted security. • Partner with Product Management, Threat Research, AI Engineering, Cloud Infrastructure, and Customer Success. • Establish world-class engineering practices including DevSecOps, CI/CD, observability, secure SDLC, and engineering metrics. • Recruit, develop, and retain exceptional engineering leaders while building a culture of accountability, innovation, and inclusion.

🎯 Requirements

• 20+ years of software engineering experience with at least 10 years in executive engineering leadership. • Experience leading globally distributed engineering organizations of 150+ employees. • Deep expertise in endpoint security, EDR/XDR, cloud-native architectures, distributed systems, Kubernetes, microservices, and high-scale telemetry platforms. • Experience embedding AI/ML and Generative AI into enterprise software products. • Demonstrated success building engineering organizations through periods of rapid growth and transformation. • Executive-level communication skills with Boards, C-suite executives, customers, and investors.

🏖️ Benefits

• Equity for all employees • Flexible time off and paid volunteer days • RRSP and 401k match • Training and career development programs • Comprehensive private benefits plan including medical, mental health, dental, disability, life and AD&D, and value-added services • Robust Employee Assistance Program (EAP) with mental health services • Fertility support and paid parental leave

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