Senior Manager QE - AI SOC Automation

At Arctic Wolf, you will not just watch the cybersecurity industry evolve – you will help lead the change. Our global team is made up of people who thrive on solving complex problems, moving quickly, and building technology that protects organizations around the world. We are proud to be recognized by Forbes, CNBC, Fortune, CRN, Gartner Peer Insights, and International Data Corporation Market Scape. What matters most is the work behind these recognitions: delivering real outcomes for customers through award-winning innovation such as our Aurora Platform.

If you are looking for meaningful work, smart teammates, and the opportunity to make a real impact in a high-growth company that is redefining security operations, Arctic Wolf is the right place for you.

Our mission is simple: End Cyber Risk.

We are looking for a Senior Manager, Quality Engineering (Artificial Intelligence Security Operations Automation) to help achieve this mission.

The Senior Manager, Quality Engineering will contribute to our Engineering organization by leading quality strategy, validation frameworks, and test automation initiatives for next-generation artificial intelligence-powered security operations platforms. This role will focus on ensuring the reliability, safety, scalability, and performance of autonomous workflows, large language model-driven systems, multi-agent orchestration frameworks, and cloud-native automation solutions that enhance security operations outcomes.

IN THIS ROLE, YOU WILL:

• Lead a team of Quality Engineering professionals focused on validating cloud-native, data-intensive, and artificial intelligence-driven security operations automation systems

• Define and execute quality engineering strategy for intelligent automation capabilities, including detection pipelines, incident response playbooks, enrichment services, and autonomous agent-based systems

• Design and implement scalable testing frameworks for artificial intelligence models, large language model workflows, reasoning agents, and autonomous task execution systems

• Establish validation methodologies for large language model accuracy, reliability, latency, bias detection, safety controls, and guardrail enforcement

• Partner closely with software engineering, threat detection, incident response, data science, and platform engineering teams to ensure secure, reliable, and high-fidelity automation across the security operations ecosystem

• Drive continuous improvement in automation, observability, performance validation, and release quality across all engineering deliverables

• Establish quality metrics, test coverage strategies, and automated validation platforms that support rapid delivery while maintaining high standards of reliability

• Guide teams in implementing best practices for testing machine learning systems, agent behavior validation, deterministic and non-deterministic testing approaches, and artificial intelligence safety evaluation

• Prioritize and execute roadmap objectives while maintaining strong engineering quality, code health, and team productivity

• Mentor engineers and foster a culture of technical excellence, innovation, accountability, and continuous learning

YOU WILL BE SUCCESSFUL IN THIS ROLE IF:

• You have significant experience leading Quality Engineering teams supporting cloud-native and distributed software platforms

• You have experience validating artificial intelligence, machine learning, and large language model-driven applications

• You have expertise designing automation frameworks and scalable testing strategies for complex software systems

• You have strong knowledge of software quality assurance methodologies, test automation, observability, and performance engineering

• You understand artificial intelligence evaluation techniques, model validation approaches, and safety testing methodologies

• You have experience working with autonomous systems, reasoning agents, or multi-agent orchestration frameworks

• You have experience collaborating across software engineering, data science, platform engineering, and cybersecurity teams

• You have strong leadership skills with a proven ability to mentor engineers and drive high-performing teams

• You possess excellent analytical, problem-solving, and communication skills

Nice to Have:

• Experience working in cybersecurity, security operations, or managed detection and response environments

• Familiarity with cloud-native technologies, Kubernetes, distributed systems, and infrastructure automation

• Experience evaluating large language model applications and agentic artificial intelligence frameworks

• Knowledge of machine learning operations, artificial intelligence governance, and model lifecycle management

Do not meet all the requirements? That is okay. We still encourage you to apply. We have many opportunities and are always looking for strong talent.

On-Camera Policy

To support a fair, transparent, and engaging interview experience, candidates interviewing remotely are expected to be on camera during all video interviews. Being on camera fosters authentic connection, improves communication, and allows for full engagement from both candidates and interviewers. We understand that technical, bandwidth, or location-related challenges may occasionally prevent video use. If this applies, candidates are required to notify us in advance so we can explore appropriate accommodations.

At Arctic Wolf, we foster a collaborative and inclusive work environment that thrives on diversity of thought, background, and culture. This is reflected in our multiple awards, including Top Workplace United States, Best Places to Work United States, Great Place to Work Canada, Great Place to Work United Kingdom, and Kununu Top Company Germany. Our commitment to bold growth and shaping the future of security operations is matched by our dedication to customer satisfaction, with over 10,000 customers worldwide and more than 2,000 channel partners globally. As we continue to expand and enhance our technology, Arctic Wolf remains a trusted name in the industry.

Our Values

Arctic Wolf recognizes that success comes from delighting our customers, so we work together to ensure that happens every day. We believe in diversity and inclusion and value the unique perspectives all employees bring to the organization. By protecting sensitive data and working to end cyber risk, we contribute to an industry that serves the greater good.

We celebrate diverse perspectives through our Pack Unity program and encourage employees to participate in or create new alliances.

We also believe in corporate responsibility and have joined the Pledge One Percent movement to give back to our communities.

All employees receive compelling compensation and benefits packages, including:

• Equity for all employees

• Flexible annual leave, paid holidays, and volunteer days

• Training and career development programs

• Comprehensive private benefits plan including medical insurance for you and your family, life insurance equal to three times compensation, and personal accident insurance

• Fertility support and paid parental leave

Arctic Wolf is an equal opportunity employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics, or any other basis forbidden under applicable law. We are committed to fostering a welcoming, accessible, and inclusive environment.

Security Requirements

• Conduct duties in accordance with Arctic Wolf information security policies, standards, and controls

• Background checks are required for this position

• This role may require access to information protected under United States export control laws and regulations