Senior Program Manager – AI Security Research
- Toronto, ON
- Hybrid
- Posted Oct 9, 2026
- 1 position
Opens LinkedIn
- Employment type
- Contract
- Experience level
- Senior · 5+ years
- Posting language
- English
- Working hours
- 40 hours per week
- Office presence
- 3 days per week
- Seniority
- Mid-Senior level
- Application method
- Direct apply is available
Job summary
Lead and coordinate technical cybersecurity and AI security programs from research and prototyping through testing, evaluation, recommendations, and operationalization. Manage roadmaps, risks, cross-functional teams, vendor evaluations, and stakeholder communications, translating technical findings into enterprise recommendations.
Job details
Job Title: Senior Technical Program Manager – AI Security Research Location: Toronto, ON Work Model: Hybrid – 3 days onsite Job Type: Contract Job Summary We are seeking a Senior Technical Program Manager – AI Security Research to lead and coordinate highly technical cybersecurity research and engineering programs. The ideal candidate will combine strong cybersecurity expertise, AI/AI Security knowledge, and technical program management experience. You will work closely with Security Research Engineers, cybersecurity teams, software engineers, architects, vendors, and leadership to drive initiatives from research and experimentation through POCs, technical evaluation, recommendations, and operationalization. Key Responsibilities Lead technical programs across AI Security, Agentic AI, LLM Security, Application Security, vulnerability research, and emerging cybersecurity technologies. Manage and coordinate highly technical AI security research and engineering teams. Drive initiatives through research → prototype → testing → benchmarking → recommendation → operationalization. Establish program roadmaps, milestones, dependencies, risks, priorities, and success criteria. Coordinate development and evaluation of AI security harnesses, AI red teaming, security automation, and AI-native security capabilities. Work with engineering teams using AI agents, LLMs, APIs, cloud platforms, containers, and security tools. Lead cybersecurity product/vendor evaluations, POCs, technical due diligence, benchmarking, and architecture reviews. Translate complex technical research into clear enterprise recommendations and decision materials. Coordinate cross-functional teams across cybersecurity, application security, infrastructure, cloud, architecture, and research. Present technical findings, program status, risks, and recommendations to senior stakeholders. Required Skills Strong Cybersecurity background. Strong Technical Program Management / Project Management experience. Hands-on or strong technical understanding of AI, AI Security, LLMs, or Agentic AI. Experience managing or coordinating cybersecurity engineering, research, software development, or AI programs. Strong understanding of APIs, cloud technologies, containers, and security automation. Ability to work effectively with highly technical engineers and security researchers. Strong communication, technical documentation, stakeholder management, and presentation skills. Technical Skills – Preferred Python, Java, Go, Node.js, C/C++ Docker, Kubernetes AI/LLM security and agentic AI Vulnerability Research Threat Modeling Application Security Network & Infrastructure Security Security Architecture Cryptography / Post-Quantum Cryptography (PQC) AI Red Teaming / Autonomous Penetration Testing
What you’ll do
Lead and coordinate technical cybersecurity and AI security programs from research and prototyping through testing, evaluation, recommendations, and operationalization. Manage roadmaps, risks, cross-functional teams, vendor evaluations, and stakeholder communications, translating technical findings into enterprise recommendations.
Requirements
Requires a strong cybersecurity background, technical program or project management experience, and hands-on experience or strong technical understanding of AI, AI security, LLMs, or agentic AI. Candidates should have experience coordinating technical teams and understand APIs, cloud technologies, containers, and security automation, with strong communication and stakeholder management skills.
Listed skills
- Stakeholder Management · Preferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- Cybersecurity
- Technical Program Management
- AI Security
- LLM Security
- Agentic AI
- Cybersecurity Research
- Application Security
- Vulnerability Research
- Security Automation
- Cloud Technologies
- APIs
- Containers
- AI Red Teaming
- Threat Modeling
- Security Architecture
- Stakeholder Management
Job areas
- Security & Safety
- Technology
- Management & Leadership
- Science & Research
- Software