Senior Manager, Artificial Intelligence

This is a fully remote position, open to applicants in United States.

📋 Description

• Oversees and coordinates the daily operations of their team, taking responsibility for the results achieved.

• Collaborates with the Product team to outline and execute the 6-month AI roadmap while also contributing to long-term planning and strategy alongside R&D Leadership.

• Provides guidance and clarity, eliminates barriers, and leads teams in delivering high-quality, innovative AI solutions in collaboration with architects, developers, data scientists, product managers, customer support engineers, and support staff.

• Establishes the strategic direction for addressing various challenges, ranging from classical machine learning techniques (e.g., clustering, random forests) to deep learning, fine-tuned language models, and agentic systems, partnering with technical peers and team members to transform complex security use cases into production-ready projects.

• Works with Architects and other leaders to shape the company's technical roadmap, advocating for secure, observable, and scalable AI systems in cloud-native environments.

• Manages the design, training, deployment, and ongoing quality assessment of models and agentic experiences.

• Promotes continuous enhancement in engineering and MLOps processes.

• Maintains secure coding practices and acceptable-use standards throughout the entire development life cycle.

• Champions cross-functional initiatives with platform, product, and security operations teams to incorporate AI into production, ensuring successful project completion.

• Guides and mentors each team member, aiding their development in technical and leadership skills while establishing career growth plans and achievable objectives.

• Fosters collaborative relationships across teams and stakeholders.

• Leads recruitment efforts for their team and significantly contributes to the hiring and recruitment strategy for both full-time and co-op positions.

⛳️ Requirements

• Bachelor’s degree or foreign equivalent in Computer Science, Machine Learning, Data Science, or a related field, or a comparable 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 a track record of leading technical teams or projects.

• Proven experience in leading technical teams and delivering AI/ML or Generative AI systems to production at scale.

• Strong knowledge in the production deployment of Generative AI or machine learning systems, encompassing training, tuning, and ongoing quality measurement and evaluation (e.g., LLM-as-judge).

• Familiarity with agentic frameworks (e.g., AgentCore, LangChain, LangGraph) and integration of large language models (LLMs).

• Experience in architecting MLOps processes and tools for transitioning models from training to production, including drift monitoring and continuous learning in high-volume pipelines.

• Knowledge of cloud-native data services (AWS preferred) and data engineering tools (e.g., Spark, Flink, Kafka, Databricks), as well as infrastructure-as-code, CI/CD, and DevSecOps principles.

• Understanding of cybersecurity concepts such as threat detection, MITRE ATT&CK, telemetry, and adversarial behavior modeling.

• A proactive attitude, persistence, and a proven ability to navigate cross-functional boundaries to drive complex, high-impact initiatives to fruition.

🏝️ Benefits

• 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