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Open Source Intelligence Jobs in Toronto, ON (NOW HIRING)

Spotify

Head of Backstage Marketing

Toronto, ON

About the Team Backstage was created at Spotify and has grown into a leading SaaS and open source ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

TMX Group

Legal Counsel

Toronto, ON · On-site

Artificial intelligence/Generative AI, high-criticality technology acquisitions, complex outsourcing transactions, source code escrow, open-source software (OSS) licensing. * Strategic Projects ...

NexHealth

Senior Software Engineer

Toronto, ON · On-site +1

... and related open source projects, including the Kubernetes ecosystem, AWS, and PostgreSQL ... Artificial Intelligence Notice Artificial intelligence may be used in the recruitment process for ...

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Showing results 21-40

All JobsOpen Source Intelligence JobsOpen Source Intelligence Jobs in Toronto, ON

Open Source Intelligence information

See Toronto, ON salary details

$21.9K

$89.8K

$163.7K

How much do open source intelligence jobs pay per year?

As of Aug 21, 2026, the average yearly pay for open source intelligence in Toronto, ON is $89,797.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,849.00 and $110,703.00 per year, depending on experience, location, and employer.

What is an open source intelligence?

An Open Source Intelligence (OSINT) job involves collecting, analyzing, and interpreting publicly available data to support decision-making in cybersecurity, law enforcement, business, or government operations. OSINT analysts gather information from sources like social media, news articles, public records, and databases to identify threats, trends, or insights. These professionals use various tools and techniques to verify and contextualize data while adhering to ethical and legal guidelines. The role requires strong analytical skills, attention to detail, and knowledge of data privacy laws to ensure responsible use of information.

What are the key skills and qualifications needed to thrive in open source intelligence?

To thrive in Open Source Intelligence (OSINT), you need strong analytical skills, a deep understanding of internet research techniques, and familiarity with information verification, often supported by degrees in fields such as criminal justice, cybersecurity, or intelligence studies. Experience with specialized OSINT tools like Maltego, Recon-ng, and knowledge of data privacy legislation are highly valued, as are certifications such as GIAC Open Source Intelligence (GOSI). Attention to detail, ethical integrity, and effective communication are crucial soft skills for interpreting and reporting findings clearly. These skills are important because they ensure the accurate, lawful, and actionable gathering of data from open sources to support security, investigative, or decision-making objectives.

What are some typical challenges faced by professionals in open source intelligence?

Professionals working in Open Source Intelligence (OSINT) commonly face challenges such as information overload, verifying the credibility of sources, and navigating rapidly evolving digital platforms. They must also stay current with legal and ethical considerations when collecting and analyzing publicly available data. Collaboration with cybersecurity, law enforcement, or intelligence teams is frequent to ensure findings are integrated effectively. Developing efficient research strategies and maintaining a critical mindset are key to overcoming these obstacles and delivering actionable intelligence in a timely manner.

Are there open source intelligence jobs?

Open Source Intelligence (OSINT) jobs involve collecting and analyzing publicly available information for security, research, or investigative purposes. These roles are common in government agencies, private security firms, and consulting companies, often requiring skills in data analysis, research tools, and sometimes certifications like OSINT certifications or security clearances.

How do I get started in Open Source Intelligence?

To start a career in Open Source Intelligence (OSINT), develop skills in research, data analysis, and cybersecurity tools such as Maltego or OSINT frameworks. Gain knowledge of online sources, social media platforms, and legal considerations, and consider certifications like the GIAC Open Source Intelligence Certification (GX0-01) to validate your expertise.

How to get a job in open source intelligence?

To get a job in open source intelligence, candidates should develop skills in data analysis, research, and cybersecurity tools, often through relevant degrees or certifications such as OSINT certifications. Gaining experience with intelligence platforms, programming languages like Python, and understanding legal and ethical considerations can improve employability. Networking within intelligence communities and staying updated on industry trends also help in securing positions in this field.

Is open source intelligence work in demand?

Open source intelligence (OSINT) analysts are in increasing demand across government agencies, private security firms, and corporations due to the need for data collection and analysis from publicly available sources. Skills in research, data analysis, and familiarity with tools like Maltego or OSINT frameworks enhance employability in this growing field.

What are the most commonly searched types of Open Source Intelligence jobs in Toronto, ON?

The most popular types of Open Source Intelligence jobs in Toronto, ON are:

What are popular job titles related to Open Source Intelligence jobs in Toronto, ON?

For Open Source Intelligence jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Open Source Intelligence jobs in Toronto, ON look for?

The top searched job categories for Open Source Intelligence jobs in Toronto, ON are:

Open Source Intelligence jobs near you
Infographic showing various Open Source Intelligence job openings in Toronto, ON as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, and 3% Contract. Highlights an 90% Physical, 4% Hybrid, and 6% Remote job distribution, with an average salary of $89,797 per year, or $43.2 per hour.

Director of AI Engineering - Generative AI & Autonomous Systems (10033) Toronto, Canada

Extreme Networks

Toronto, ON • On-site

Full-time

Re-posted yesterday

Job description

Introduction 
At our Extreme, we create effortless networking experiences that empower people and organizations to advance. We are seeking a Director of AI Engineering to lead the design, development, and delivery of our next-generation AI-native systems. 
This role requires a proven leader who combines technical depth with organizational vision. You will not only set the direction for AI strategy but also ensure that ideas move from research to scalable, production-ready deployments. Your leadership will drive the successful launch of enterprise-grade AI solutions that transform network design, optimization, security, and support. 
Key Responsibilities
  •  
Leadership & Vision 
  • Define the AI engineering vision and long-term roadmap; ensure alignment with business strategy and customer outcomes. 
  • Build, inspire, and scale a world-class AI engineering team, cultivating a culture of innovation, collaboration, and execution. 
  • Mentor senior engineers and emerging leaders, raising the technical and leadership bar across the organization. 
  • Champion responsible AI practices and set quality standards for reliability, ethics, and compliance. 
 
End-to-End Productization 
 
  • Drive the full lifecycle of AI systems: from research exploration and prototyping through enterprise-scale production launches. 
  • Ensure seamless integration of AI into core products, balancing cutting-edge innovation with pragmatic delivery. 
  • Establish and enforce best practices for deployment, monitoring, and lifecycle management of AI systems in production. 
  • Measure impact and ensure that AI solutions deliver tangible business value. 
 
Technical Leadership 
 
  • Provide architectural direction for scalable AI systems leveraging LLMs, multi-agent systems, and generative models. 
  • Guide technical decisions, ensuring systems are reliable, secure, and cloud-native. 
  • Evaluate emerging technologies and frameworks; make informed adoption decisions that strengthen competitive differentiation. 
  • Maintain enough hands-on involvement to earn respect from engineers, while staying focused on strategic leadership. 
 
Cross-Functional & External Influence 
 
  • Partner with product management, engineering, and network experts to define and deliver AI-driven features. 
  • Communicate strategy, progress, and impact to executives, customers, and partners with clarity and influence. 
  • Represent the company externally as a thought leader in AI, contributing to industry forums, open-source communities, and customer engagements. 
Qualifications
  • A degree in Computer Science, Artificial Intelligence, or a related field (or equivalent practical experience). 
  • Proven leadership track record: 12+ years in AI/ML engineering, including 5+ years in senior leadership roles managing teams and large-scale initiatives. 
  • End-to-end product launch expertise: Demonstrated success leading AI initiatives from concept through production deployment and adoption at enterprise scale. 
  • Strategic leadership: Ability to define AI roadmaps, prioritize investments, and align execution with business outcomes. 
  • Team builder & mentor: Experience scaling teams, developing leaders, and creating a culture of technical excellence. 
  • Technical credibility: Strong foundation in ML/AI with applied expertise in generative AI, LLMs, RAG, or multi-agent systems; able to guide architecture and evaluate tradeoffs. 
  • Enterprise-scale delivery: Experience integrating AI into production systems with cloud-native architectures (AWS, Azure, GCP). 
  • Influence & communication: Exceptional ability to engage executives, engineers, and customers with clarity and impact. 
Nice to Have:
  • Experience with AI/LLMOps platforms, orchestration frameworks, and lifecycle management. 
  • Domain knowledge in networking, SD-WAN, or observability. 
  • Recognized contributions to the AI ecosystem (open-source projects, patents, or industry thought leadership). 
  • Partnerships with academia, startups, or AI vendors to accelerate innovation. 
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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