Senior Manager, Artificial Intelligence

Arctic Wolf

Confirmed live today High trust
Remote

Quick summary

Work type
Remote
Location
Canada
Salary
$118,700–$280,000 / yr
Employment
Full-time
Posted
34 days ago
Freshness
Confirmed live today

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $205k
This role $199k
$99k $299k
below market most similar roles pay here above market

This role pays less than 55% of similar roles. Most pay $169,387–$240,875 — the blue band above. At the midpoint, this role pays about $199k versus about $205k for comparable roles.

Based on 240 similar postings.

Employer

About Arctic Wolf

Arctic Wolf is a cybersecurity company providing cloud-native security operations as a service, offering managed detection and response (MDR) and security awareness training to organizations of all sizes. Industry: Cybersecurity

Arctic Wolf currently has 9 open roles on FindRole.

Listed pay typically runs $150,500–$269,500 across 8 roles with salary data.

Most-posted roles

View all roles at Arctic Wolf

At a glance

TL;DR · Senior Manager, Artificial Intelligence

JOB TITLE: Senior Manager, Artificial Intelligence The Senior Manager, Artificial Intelligence leads a team responsible for planning and directing AI development to transform massive volumes of security signals into faster detection and response. This role involves managing the full lifecycle of machine learning solutions, including classical models like clustering and random forests, deep learning, fine-tuned language models, and agentic systems. You will oversee the design, training, deployment, and quality measurement of models while driving MLOps processes in cloud-native environments. Key technologies include AWS, Spark, Flink, Kafka, Databricks, LangChain, and LangGraph. You will collaborate with R&D, Product, and Security Services to build scalable, production-grade systems. The work addresses complex cybersecurity problems, including threat detection, telemetry analysis, and adversarial behavior modeling to improve security operations.

What you'll do

  • Plan and direct AI development to convert security signals into faster detection and response.
  • Define and deliver the 6-month AI roadmap in partnership with the Product team.
  • Oversee the design, training, deployment, and quality measurement of ML models and agentic systems.
  • Drive continuous improvement in engineering and MLOps processes while upholding secure coding standards.
  • Lead cross-functional initiatives to integrate AI into production environments across platform and security teams.
  • Mentor team members on technical and leadership skills while establishing clear career development plans.
  • Lead recruitment efforts and contribute to the hiring strategy for full-time and co-op roles.

What we're looking for

  • Bachelor’s degree 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.
  • Demonstrated experience leading technical teams and delivering AI/ML or Generative AI systems to production at scale.
  • Strong expertise in production delivery of Generative AI or machine learning systems, including training, tuning, and quality measurement.
  • Experience with agentic frameworks such as AgentCore, LangChain, or LangGraph and LLM integration.
  • Experience architecting MLOps processes and tooling for moving models from training to production in high-volume pipelines.
  • Familiarity with cloud-native data services (AWS preferred), data engineering tools, infrastructure-as-code, CI/CD, and DevSecOps principles.
  • Export control laws and regulations, including the Export Administration Regulations (“EAR”).

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