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indeed

Technical Project Manager

HCLTech
Toronto, CAN
Onsite
Discovered 2 weeks ago
Technical program managementProgram roadmaps, milestones, dependencies, and risk managementApplication security and AI securityVulnerability research and threat modellingSecure development and security architectureLLMs and AI agents

Full Job Posting

Role overview

Technical project management role in Toronto focused on cybersecurity, research, software engineering, AI, and emerging technologies.

Leads work from research hypotheses through prototypes, evaluations, recommendations, and operationalization.

Key responsibilities

  • Manage roadmaps, priorities, milestones, dependencies, deliverables, risks, resources, metrics, and cross-functional issue resolution.
  • Coordinate evaluations, proofs of concept, benchmarks, vendor assessments, architecture reviews, demonstrations, and technical due diligence.
  • Define evaluation criteria for security effectiveness, technical capability, scalability, integration, and operational readiness.
  • Assess security concerns, limitations, risks, and integration gaps; develop evidence-based recommendations.
  • Coordinate technical teams and stakeholders; communicate findings and document and transfer artifacts, decisions, risks, and knowledge.

Must-have qualifications

  • Proven experience leading technical cybersecurity, research, software engineering, AI, or emerging-technology programs from research through operationalization.
  • Strong program execution, risk management, resource planning, metrics, and delivery tracking capability.
  • Strong knowledge of application security, AI security, vulnerability research, threat modelling, secure development, network and infrastructure security, and security architecture.
  • Strong understanding of LLMs, AI agents, APIs, orchestration, agentic security workflows, and AI-enabled security automation.
  • Technical fluency across software, cloud platforms, containers, security tools, automation frameworks, and security test environments.
  • Modern software development knowledge including Python and working familiarity with Java, Node.js, Go, or C/C++.
  • Master’s degree in Cybersecurity, Computer Science, Artificial Intelligence, Computer Engineering, or a related technical field.

Preferred qualifications

  • PhD in a relevant technical field; frontier cybersecurity exposure; AI red teaming, autonomous penetration testing, or agent security; technical research or open-source innovation; startup or investment experience; or research prototype operationalization.
  • CISSP, OSCP, CSSLP, CISM, or equivalent cybersecurity certification.

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