Senior Manager, Artificial Intelligence

Role Description

In this role, you advance that mission by planning and directing the AI development that turns massive volumes of security signal into faster detection and response. This work spans the full range of machine learning and AI solutions, from classical models to fine-tuned language models and agentic systems. You ensure AI initiatives, processes, and deliverables conform to the organization’s established policies, quality standards, and objectives. You also work closely with R&D Leadership, Product Management, and the Security Services (S2) organization to build scalable, production-grade AI that customers and analysts need, delivered on time.

Senior Managers carry a large scope of leadership and may have multiple managers and/or technical leads reporting to them. The right leader brings specialized subject-matter expertise in the AI domain along with a can-do attitude. They are comfortable working across functional boundaries, partnering with data scientists, platform engineers, threat researchers, and security operations analysts to push complex, ambiguous initiatives over the line.

Responsibilities

• Generates and manages the day-to-day work for their team and is accountable for its outcomes.
• Partners 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.
• Sets 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.
• 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.
• A can-do attitude, tenacity, and proven ability to work across cross-functional boundaries to drive ambiguous, high-impact initiatives to completion.

Security Requirements

• Conducts duties and responsibilities in accordance with AWN’s Information Security policies, standards, processes, and controls to protect the confidentiality, integrity and availability of AWN business information.
• Background checks are required for this position.
• This position may require access to information protected under U.S. export control laws and regulations, including the Export Administration Regulations (“EAR”).

Compensation

The base salary range for this job family is 118,700 to 280,000 USD 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. In addition to base pay, Arctic Wolf offers variable incentive compensation, new hire equity grants, and a comprehensive benefits package.