Senior Manager, Artificial Intelligence

About the role

At Arctic Wolf, you’ll help lead the change in the cybersecurity industry. Our global Pack is made up of people who thrive on solving hard problems, moving fast, and building technology that protects organizations around the world. We’re proud to be recognized by Forbes, CNBC, Fortune, CRN, Bartner Peer Insights and IDC MarketScape – but what matters most is the work behind it: delivering real outcomes for customers through award-winning innovation like our Aurora Platform.

Responsibilities

• Generates and manages the day-to-day work for their team and is accountable for its outcomes.
• Presents with the Product team to define and deliver the 6-month AI roadmap and contributes to longer-term planning and strategy with R&D Leadership.
• Provides direction and clarity, removes obstacles, and leads teams that deliver high-quality, innovative AI solutions alongside architects, developers, data scientists, product managers, CSEs, and support people.
• Set the direction for applying the right approach to each problem, from classical ML (e.g., clustering, random forests) to deep learning, fine-tuned language models, and agentic systems, in partnership with your technical peers and team members, translating complex security use cases into production-ready initiatives.
• Partners with Architects and other leadership on the company’s technical roadmap, championing secure, observable, and scalable AI systems in cloud-native environments.
• Oversees the design, training, deployment, and ongoing quality measurement of models and agentic experiences.
• Drives continuous improvement in engineering and MLOps processes.
• Upholds secure coding and acceptable-use standards across the full development life cycle.
• Drives cross-functional initiatives with platform, product, and security operations teams to integrate AI into production, and sees that work through to completion.
• Mentors each team member and helps them grow their technical and leadership skills, establishing career development plans and achievable goals.
• Builds collaborative relationships across teams and stakeholders.
• Leads recruitment for their team and is a key contributor to hiring and recruitment strategy for both full-time and co-op roles.

Qualifications

• Bachelor’s degree or foreign equivalent in Computer Science, Machine Learning, Data Science, or a related field, or an equivalent combination of education and experience.
• Four years of experience in software, AI/ML, or data science roles (or a Master’s degree plus two years), including experience leading technical teams or projects.
• Demonstrated experience leading technical teams and delivering AI/ML or Generative AI systems to production at scale.
• Strong expertise in the production delivery of Generative AI or machine learning systems, including training, tuning, and ongoing quality measurement and evaluation (e.g., LLM-as-judge).
• Experience with agentic frameworks (e.g., AgentCore, LangChain, LangGraph) and LLM integration.
• Experience architecting MLOps processes and tooling for moving models from training to production, including drift monitoring and continuous learning in high-volume pipelines.
• Familiarity with cloud-native data services (AWS preferred) and data engineering tools (e.g., Spark, Flink, Kafka, Databricks), and with infrastructure-as-code, CI/CD, and DevSecOps principles.
• Exposure to cybersecurity concepts such as threat detection, MITRE ATT&CK, telemetry, and adversarial behavior modeling.

Skills

• A can-do attitude, tenacity, and proven ability to work across cross-functional boundaries to drive ambiguous, high-impact initiatives to completion.

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
• Retail Employee Assistance Program (EAP) with mental health services
• Fertility support and paid parental leave

Pay

The base salary range for this job family is $118,700 to $280,000 annually. This range reflects the base pay the company reasonably expects to offer for this position, aligned to the broader job family base pay structure. Actual base pay may vary based on skills, experience, and location, including job family level.

Schedule

Full-time position.