Jobs at Arctic Wolf

Designs, builds, and maintains secure, reproducible lab environments for third-party integrations. The role develops infrastructure-as-code and automated provisioning pipelines, manages cloud and virtualization platforms, configures networking, supports APIs and event-driven integrations, and implements observability and secret management. It also provides troubleshooting, documentation, integration enablement, and collaboration with engineering, product, and vendor teams.

Leads large-scale software engineering projects from design through deployment, provides technical leadership and mentorship, contributes to architecture and engineering standards, drives testing and software quality, resolves production issues, develops scalable solutions, and collaborates across Product, UX, and Engineering teams. The role also supports Agile delivery, incident reviews, prioritization, stakeholder communication, and cross-team technical alignment.

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 workforce intelligence and productivity analytics for Arctic Wolf’s Security Services organization. Builds productivity, capacity, cost-to-serve, savings realization, and ROI frameworks; identifies operational inefficiencies; and provides executive reporting to guide staffing, automation, product priorities, and organizational scaling. Partners with Finance, Product, Data Science, and Engineering to measure business outcomes and validate productivity improvements. Requires advanced analytics, AI/ML modeling, SQL, BI tools, and experience in 24x7 operational environments.

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.

Administers global employee leave, disability, workplace accommodation, and return-to-work programs across multiple jurisdictions. Manages cases from intake through closure, coordinates with employees, managers, HR, Payroll, Benefits, vendors, and insurers, and ensures compliance, accurate documentation, timely deadlines, and correct pay and benefits administration. Supports reporting, audits, process improvements, system enhancements, employee communications, and AI-enabled operational efficiency while handling sensitive information with discretion.

Owns product management for managed security services onboarding. Translates product vision into engineering plans, prioritizes cross-team backlogs, defines requirements, facilitates project ceremonies, monitors telemetry and operational metrics, and drives scalable self-service onboarding experiences. Partners with Product, Engineering, Customer Success, Operations, and technical support to improve customer adoption, time to value, and long-term success across Arctic Wolf’s product portfolio.

Leads product strategy, roadmap, and execution for threat intelligence, threat hunting, and detection capabilities. Partners with engineering, architecture, security research, executive, sales, and SOC teams to drive innovation, product launches, OKRs, portfolio prioritization, and customer security outcomes. Requires deep cybersecurity expertise and extensive senior product management experience, with strong knowledge of emerging threats, AI applications, and enterprise security products.

Lead and manage AI teams to design, train, deploy, and operate production-grade ML and generative AI systems for security detection and response. Define AI roadmap, partner with product and platform teams, uphold secure MLOps practices, mentor staff, recruit talent, and deliver scalable, observable AI integrated into production cloud environments.