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HS&E Manager
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- Full-time
You are an established Health & Safety Manager with experience in the mining, oil & gas industry.
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Sr. Manager, Project Engineering
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Senior Systems Engineer
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AWS Project Manager
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CONFLUX SYSTEMS

AI Security Technical Program Manager

Toronto, ON, Canada

$50 to $55 CAD / hour · Contract

Apply About employer

Applications open in a new tab.

Job details

Pay: $50 to $55 CAD / hour
Job type: Contract
Apply by: Nov 6, 2026
Posting language: English
Posted: Oct 7, 2026

Original job description

Job Title: AI Security Technical Program Manager
Work Site: Toronto, Canada – Day 1 Onsite – min 3 days office.

JD provided in the attached email.

This person should basically manage the team of AI security research engineers.

2 important skills will be Cyber security + AI management.

Location - Toronto

Exp- 10+ years

Skills

Al
Java
Python
Go
Node / Node JS
Product Management
Project Management
Docker
Kubernetes
Threat Vulnerability
API
Cryptography

JD:

Security Technical Program Manager to lead and coordinate cybersecurity research, engineering, product evaluation, and emerging-technology initiatives from research hypothesis through prototype, proof-of-concept, technical evaluation, enterprise recommendation, and operationalization.

This role will work closely with Security Research Engineers, software engineers, cybersecurity teams, architecture teams, technology vendors, startups, and leadership stakeholders to drive programs across AI Security, Agentic AI, Application Security, quantum/post-quantum cryptography (PQC), blockchain, and other emerging cybersecurity technologies.

A key focus of the role will be coordinating the development and evaluation of agentic AI security harnesses and cybersecurity AI capabilities, while also managing structured evaluations of new cybersecurity products, platforms, and startups through technical testing, benchmarking, and due diligence.

The ideal candidate combines the mindset of a technical program leader, cybersecurity practitioner, and emerging-technology evaluator and is comfortable working with highly technical teams to turn new ideas into measurable cybersecurity capabilities and enterprise recommendations.

Responsibility

· Lead the planning, coordination, and execution of programs to develop agentic AI security harnesses, prototypes, and proof-of-concepts for new cybersecurity capabilities.

· Establish program roadmaps, priorities, milestones, dependencies, deliverables, and success criteria for cybersecurity research and engineering initiatives.

· Coordinate research and experimentation across AI Security, Agentic AI, Application Security, quantum/PQC, blockchain, and other emerging technologies.

· Work closely with technical teams developing and integrating AI agents, LLMs, APIs, security tools, automation frameworks, cloud environments, containers, and security test environments.

· Translate cybersecurity research hypotheses and emerging technology opportunities into structured technical workstreams, experiments, POCs, and evaluation plans.

· Manage the lifecycle of initiatives from: research → prototype → testing → benchmarking → recommendation → operationalization.

· Coordinate the development and evaluation of AI Security Harness capabilities, including agentic security workflows and AI-enabled security automation.

· Establish clear technical requirements, evaluation criteria, benchmarks, and success measures for prototypes and emerging cybersecurity capabilities.

· Lead and coordinate cybersecurity product and startup evaluations through hands-on technical testing performed by engineering and research teams.

· Establish structured approaches for evaluating cybersecurity products, technologies, and startups based on:

o Security effectiveness

o Technical capability

o Scalability

o Integration complexity

o Architecture

o Operational applicability

o Enterprise applicability

· Coordinate technical due diligence and independent validation of vendor claims and product capabilities.

· Facilitate product demonstrations, technical deep dives, proof-of-concepts, architecture reviews, and evaluation sessions.

· Work with engineering and research teams to identify product limitations, technical risks, security concerns, and integration requirements.

· Drive clear technical recommendations and decision materials based on research, benchmarks, testing, and product evaluations.

· Maintain visibility into cybersecurity products and technologies progressing through research, evaluation, POC, recommendation, and operationalization.

· Coordinate research and engineering initiatives involving AI red teaming, autonomous penetration testing, agent security, and AI-native security tooling.

· Support experimentation with advanced AI and cybersecurity models and their applicability to cybersecurity use cases.

· Identify dependencies, technical blockers, risks, and resource requirements and drive cross-functional resolution.

· Coordinate collaboration across cybersecurity engineering, security research, Application Security, architecture, infrastructure, cloud, and other technical teams.

· Help transition successful research prototypes and cybersecurity capabilities toward operational and enterprise use.

· Establish program metrics that measure prototype progress, technical evaluation results, cybersecurity effectiveness, product evaluation outcomes, and operational readiness.

· Develop and maintain technical program documentation, research summaries, evaluation findings, decisions, risks, and recommendations.

· Prepare and present technical findings, program status, demonstrations, and recommendations to engineering teams, cybersecurity leadership, and other stakeholders.

· Coordinate engagement with cybersecurity vendors, startups, accelerators, venture or investment stakeholders, where appropriate.

· Ensure research findings, prototypes, source code, evaluation artifacts, and technical knowledge are documented and transferred appropriately.

· Promote disciplined experimentation, measurable outcomes, and repeatable evaluation methodologies across cybersecurity research programs.

Qualification

· Master’s degree in Cybersecurity, Computer Science, Artificial Intelligence, Computer Engineering, or a related technical field; PhD welcomed.

· Strong technical understanding of software development and modern engineering environments, including Python, Java, Node.js, Go, C/C++, and other modern programming languages.

· Experience managing or coordinating highly technical programs involving cybersecurity engineering, research, software development, AI, or emerging technologies.

· Strong understanding of LLMs, AI agents, tool calling, orchestration frameworks, APIs, cloud technologies, containers, and security automation.

· Strong knowledge of cybersecurity domains including:

o Application Security

o AI Security

o Vulnerability Research

o Threat Modeling

o Secure Development

o Network Security

o Infrastructure Security

o Security Architecture

· Demonstrated ability to translate research hypotheses and technical concepts into structured programs, experiments, prototypes, and measurable deliverables.

· Experience coordinating technical product evaluations, proof-of-concepts, benchmarking, vendor assessments, or technical due diligence.

· Ability to work effectively with deeply technical researchers and engineers and understand technical architecture, software, models, APIs, security tools, and experimental results.

· Ability to evaluate and communicate technical considerations involving security, scalability, integration complexity, and enterprise applicability.

· Strong program-management skills across planning, prioritization, milestones, dependencies, risk management, delivery tracking, and stakeholder coordination.

· Strong technical writing, documentation, presentation, and communication skills.

· Ability to present complex cybersecurity research and technical findings to engineering, security leadership, and investment or innovation stakeholders.

Highly valued experience includes research papers or presentations at recognized cybersecurity, AI, or systems forums; AI red teaming; autonomous penetration testing; agent security; AI-native security tooling; cybersecurity startup, founder, or early-stage product experience; experience presenting or pitching to venture capital, corporate venture teams, accelerators, or investment stakeholders; patents; open-source security projects; vulnerability research; advanced AI frontier models for cybersecurity; or other demonstrated technical innovation.

Cybersecurity certifications such as CISSP, OSCP, CSSLP, CISM or equivalent are also highly valued.

Apply About employer

More about this job

Responsibilities

Lead and coordinate cybersecurity research and engineering programs from initial hypotheses through prototypes, testing, benchmarking, recommendations, and operationalization, with a focus on AI security, agentic AI, application security, and emerging technologies. Manage technical product and startup evaluations, align cross-functional teams, track risks and milestones, and communicate findings and recommendations to technical teams and leadership.

Requirements

Requires a master’s degree or higher in a relevant technical field, 10+ years of experience, strong program-management capabilities, and technical understanding of software development, AI systems, and cybersecurity. Candidates should be able to coordinate technical evaluations and proof-of-concepts, work effectively with researchers and engineers, and communicate complex findings; cybersecurity certifications and experience in AI red teaming or vulnerability research are valued.

Skills

Cybersecurity
AI Security
Technical Program Management
Project Management
Product Management
Python
Java
Go
Node.js
Application Security
Threat Modeling
Vulnerability Research
LLMs And AI Agents
APIs
Docker
Kubernetes

Visa sponsorship

Not detected in the job text

Keywords

Cybersecurity
AI Security
Agentic AI
Application Security
Quantum Cryptography
Post-Quantum Cryptography
Blockchain
Technical Program Management
Product Evaluation
Technical Due Diligence
Proof Of Concept
Benchmarking
LLMs
AI Agents
Tool Calling
APIs
Python
Java
Node.js
Go
C/C++
Docker
Kubernetes
Cloud Technologies
Security Automation
Threat Modeling
Vulnerability Research
AI Red Teaming
CISSP

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