Teams at Arctic Wolf

Build and deliver production AI systems across machine learning, generative AI, and agentic workflows. Design scalable ML and data pipelines, integrate heterogeneous data, evaluate emerging AI frameworks, and deploy secure cloud-native solutions. Collaborate with data science, product, security operations, and threat research teams to deliver customer value. Write and review code, troubleshoot production issues, measure AI quality, document technical decisions, and mentor engineers.

Leads security engineering strategy and remains hands-on designing, coding, and scaling enterprise security capabilities. Builds automation, platforms, APIs, and reusable frameworks; guides cloud, infrastructure, identity, application, endpoint, and AI security. Establishes architectures, standards, and guardrails, influences executives and engineering teams, evaluates technology risks, mentors senior technical staff, and advances secure adoption of emerging technologies across cloud-native and SaaS environments.

Leads the strategy, lifecycle, financial performance, positioning, and growth of Arctic Wolf’s Endpoint Security portfolio. The role oversees product expansion, cross-sell opportunities, competitive analysis, M&A integration, and integration with managed security services. It also leads a global product management team, establishes product metrics and operating cadences, and represents endpoint strategy to executives, customers, analysts, and partners.