Senior Manager, Artificial Intelligence

🕒 Julho 21

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $118.700 - $280.000 / ano

⏰ Tempo Integral

🟠 Sênior

🤖 Inteligência Artificial

👻 Score fantasma 6%

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Arctic Wolf

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

Fundada em 2012

A indústria de cibersegurança enfrenta um problema de efetividade. A cada ano, novas tecnologias, fornecedores e soluções surgem, e mesmo com essa inovação constante, continuamos a ver violações de alto perfil nas manchetes. Todas as organizações sabem que precisam de uma melhor segurança, mas a variedade estonteante de opções deixa os líderes de TI e segurança, com recursos limitados, se perguntando como proceder. Na Arctic Wolf, nossa missão é Acabar com o Risco Cibernético através de operações de segurança eficazes. Para alcançar isso, acreditamos que as organizações devem fazer três coisas principais: • Otimizar os controles existentes de TI e segurança • Adicionar expertise para estabelecer cobertura 24x7 • Revisar continuamente sua postura de cibersegurança e implementar ações estratégicas para fortalecê-la

Descrição

• 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.

🎯 Requisitos

• 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.

🏖️ Benefícios

• 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