Senior Manager, Artificial Intelligence

🕒 vor 2 Monaten

🇺🇸 Vereinigte Staaten – Remote

💵 $118.700 - $280.000 / Jahr

⏰ Vollzeit

🟠 Senior

🤖 Künstliche Intelligenz

👻 Geisterscore 12%

Was es bedeutet: wie wahrscheinlich diese Stelle offen bleibt, ohne dass aktiv eingestellt wird.So liest du es: 60 % oder höher heißt, wir halten das für einen Geisterjob. Niedrigere Werte sind weniger bedenklich.Wie wir werten: Dauer offen, Neuveröffentlichungen, offene Stellen vs Teamgröße, wie schnell Stellen geschlossen werden, und ob ein Gehalt angegeben ist.Hinweis: eine Schätzung aus öffentlichen Daten, kein Urteil über das Unternehmen. Echte Stellen können hoch punkten, nutze es also als Hinweis, nicht als Fakt.

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Arctic Wolf

WebsiteLinkedInAlle Stellen

1001 - 5000 Mitarbeiter

Gegründet 2012

Die Cybersecurity-Branche hat ein Wirksamkeitsproblem. Jedes Jahr entstehen neue Technologien, Anbieter und Lösungen, und doch sehen wir trotz dieser kontinuierlichen Innovation immer wieder prominente Sicherheitsverletzungen in den Schlagzeilen. Alle Organisationen wissen, dass sie bessere IT-Sicherheit benötigen, aber die unüberschaubare Vielzahl an Optionen lässt IT- und Security-Verantwortliche mit begrenzten Ressourcen ratlos zurück, wie sie vorgehen sollen. Bei Arctic Wolf ist es unsere Mission, Cyberrisiken durch effektive Security Operations zu beenden. Um dies zu erreichen, müssen Organisationen aus unserer Sicht drei zentrale Dinge tun:

Beschreibung

• 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.

🎯 Anforderungen

• 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.

🏖️ Vorteile

• Equity for all employees • Flexible time off and paid volunteer days • RRSP and 401k match • Training and career development programs • Comprehensive private benefits plan including medical, mental health, dental, disability, life and AD&D, and value-added services • Robust Employee Assistance Program (EAP) with mental health services • Fertility support and paid parental leave