Senior Manager, Artificial Intelligence

Job title: Senior Manager, Artificial Intelligence

About the Role Lead AI development turning security signals into faster detection and response. Span ML/AI solutions from classical models to fine-tuned LLMs and agentic systems, ensuring initiatives meet policies and quality standards. Collaborate with R&D Leadership, Product Management, and the Security Services (S2) to deliver scalable, production-grade AI on time.

What You'll Do

• Generate and manage the day-to-day work for the AI team and be accountable for outcomes.
• Partner with Product to define and deliver the 6-month AI roadmap; contribute to longer-term planning with R&D Leadership.
• Provide direction, remove obstacles, and lead teams delivering high-quality AI solutions alongside architects, developers, data scientists, product managers, CSEs, and support.
• Set the direction for applying the right approach per problem, from classical ML (e.g., clustering, random forests) to deep learning, fine-tuned LLMs, and agentic systems; translate complex security use cases into production-ready initiatives.
• Partner with Architects and leadership on the technical roadmap; champion secure, observable, and scalable AI systems in cloud-native environments.
• Oversee 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.

What We're Looking For

• 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 ML 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.