Senior Manager of Artificial Intelligence, Arctic Wolf
Plus Equity
Computer and network security
Open for applications
Computer and network security
1001+ employees
Open for applications
Plus Equity
1001+ employees
Company mission
To end Cyber Risk through effective security operations.
Role
Who you are
- 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
What the job involves
- 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
- 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
- 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
- Partner with Architects and other leadership on the company’s technical roadmap, championing secure, observable, and scalable AI systems in cloud-native environments
- Oversee the design, training, deployment, and ongoing quality measurement of models and agentic experiences
- Drive continuous improvement in engineering and MLOps processes. Uphold secure coding and acceptable-use standards across the full development life cycle
- Drive cross-functional initiatives with platform, product, and security operations teams to integrate AI into production, and see that work through to completion
- Mentor each team member and help them grow their technical and leadership skills, establishing career development plans and achievable goals. Build collaborative relationships across teams and stakeholders
- Lead recruitment for their team and be a key contributor to hiring and recruitment strategy for both full-time and co-op roles
Our take
Founded in 2021, Arctic Wolf has emerged as a pivotal player in cybersecurity with its concierge approach to Security Operations as a Service (SOCaaS). Arctic Wolf addresses the challenges of managing diverse cybersecurity systems and combating alert fatigue through its cloud-managed detection and response solutions.
Two of the many challenges facing digital enterprises are: having to manage dozens of different complex cybersecurity systems, and knowing what is actionable and an immediate threat (known as alert fatigue). Arctic Wolf’s platform offers cloud-managed detection and response systems, continual risk management and security awareness, solving both challenges.
Arctic Wolf's platform is now a top choice for organisations seeking streamlined security through unified technology. With 5,200 global organisations onboard, Arctic Wolf sets cybersecurity benchmarks, utilising advanced AI and open-XDR architecture to analyse over 5.23 trillion security events weekly.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
18% employee growth in 12 months
Company
Funding (last 2 of 8 rounds)
Oct 2022
$401m
CONVERTIBLE
Jul 2021
$150m
SERIES F
Total funding: $899.2m
Company benefits
- Equity For All Employees: Our salary and benefits packages always include equity, so every employee has a stake in the company’s success
- Pack Unity: We’re on a mission to foster a diverse, equitable, and inclusive workplace and to create positive change in and out of the office
- Professional Development: Arctic Wolf mentors and trains its employees to help their career growth, and encourages and supports employee efforts to enhance their skills and competency through coursework and training
- Flexible Paid Time Off: Arctic Wolf believes that employees should have the opportunity to enjoy time away from work on a flexible basis. Employees are given accountability and authority within their job responsibilities, why not with their flexible time off? We encourage diversity and the ability for you to celebrate the days in the year that are important to you
- Family Forming Benefits: Your family is a part of our Pack, which is why in addition to comprehensive health benefits, we provide access to personalized family-forming support for employees exploring fertility health, those pursuing parenthood, those already pregnant, and other family related benefits
- Volunteer Time Off: As we seek to End Cyber Risk, we also seek to give back to the communities around us, so the world is a safer and better place for all to thrive. All pack members have 3 days of volunteer time off (VTO) to use to give back to their communities in a way that is meaningful to them
Company HQ
Eden Prairie, Minnesota
Leadership
Nick Schneider
(President & CEO)Joined Arctic Wolf in 2016 as the Head of Worldwide Sales and worked their way through the roles to become CEO in 2021. Previously the vice-president of sales for Code42.
Brian NeSmith
(Founder)Previously the president and CEO of Blue Coat Systems, Inc.
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