Senior Manager, Artificial Intelligence

Arctic Wolf

Confirmed live yesterday High trust
Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$118,700–$280,000 / yr
Posted
77 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $208k
This role $199k
$99k most similar roles pay here $299k

This role pays less than 62% of similar roles. Most pay $170,000–$246,150 — the shaded band above. At the midpoint, this role pays about $199k versus about $208k 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 10 open roles on FindRole.

Listed pay typically runs $118,700–$233,100 across 9 roles with salary data.

Most-posted roles

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At a glance

TL;DR · Senior Manager, Artificial Intelligence

As a Senior Manager, Artificial Intelligence, you will lead the development of AI solutions designed to transform massive volumes of security signals into faster detection and response capabilities. You will manage a team of technical leads and engineers to build production-grade systems ranging from classical machine learning models, such as random forests and clustering, to fine-tuned language models and agentic systems. Your daily work involves defining the AI roadmap, overseeing model training and deployment, and improving MLOps processes in cloud-native environments. You will utilize tools like LangChain, LangGraph, Spark, Flink, Kafka, and Databricks while ensuring compliance with security standards. The role addresses critical cybersecurity challenges by integrating advanced AI into production workflows to solve complex problems involving threat detection, telemetry, and adversarial behavior modeling within the security operations domain.

What you'll do

  • Direct the development of AI solutions ranging from classical machine learning models to fine-tuned language models and agentic systems.
  • Translate complex security use cases into production-ready initiatives for detection and response.
  • Partner with Product and R&D leadership to define, manage, and deliver the 6-month AI roadmap.
  • Oversee the design, training, deployment, and quality measurement of machine learning models and agentic experiences.
  • Drive continuous improvement in MLOps processes while ensuring compliance with secure coding and quality standards.
  • Lead cross-functional initiatives to integrate AI into production environments across platform, product, and security operations teams.
  • Mentor team members by establishing career development plans and providing technical and leadership guidance.
  • Manage the recruitment process for full-time and co-op roles to grow the internal engineering team.

What we're looking for

  • Hold a Bachelor's degree in Computer Science, Machine Learning, Data Science, or a related field (or equivalent experience).
  • Possess four years of experience in software, AI/ML, or data science roles, or a Master’s degree plus two years.
  • Demonstrate experience leading technical teams and delivering AI/ML or Generative AI systems to production at scale.
  • Exhibit expertise in the production delivery of Generative AI, including training, tuning, and quality measurement like LLM-as-judge.
  • Experience with agentic frameworks such as AgentCore, LangChain, or LangGraph and LLM integration.
  • Architect MLOps processes for moving models to production, including drift monitoring and continuous learning 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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