Magnet Forensics
Product Management Lead
$150K–$225K
Waterloo / Ottawa / Toronto/ Ontario +6 · Remote · Full-time · Posted Jun 23, 2026
- Location
- Waterloo / Ottawa / Toronto/ Ontario
Vancouver
Georgia
Florida
Atlanta
New York
California - Experience
- 7–10 years in product management; enterprise SaaS and GovTech experience are ideal.
- Visa sponsorship
- US Applicants: Magnet Forensics participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.
About the job
Leads strategy and execution for Magnet Forensics’ examination and analysis product, shipping reliable, defensible workflows and AI-assisted capabilities that improve adoption and business outcomes.
What you'll do
- Own product strategy, roadmap, metrics, and business outcomes; drive discovery and prioritization with customers and cross-functional teams.
- Build and improve examination and analysis workflows, including AI-assisted features, with verification, transparency, and auditability.
- Drive adoption and growth through experimentation, analytics, onboarding, and collaboration with go-to-market teams.
What they ask for
- AI-native working practices, including fluency with current AI tools and prompt engineering.
- 7–10 years in product management; enterprise SaaS and GovTech experience are identified as ideal.
- Demonstrated ability to drive product adoption, activation, retention, and growth.
- Fluency in product analytics and experimentation; ability to partner on AI system design and communicate with technical teams and executives.
Nice to have
- Experience in digital forensics, incident response, cybersecurity, or other regulated, high-trust domains.
- Experience with modern AI patterns such as LLM orchestration, RAG, agent frameworks, evaluations, or guardrails.
Pay
$175,000 - $225,000 (CDN) a year (base salary); $150,000 - $200,000 (USD) a year (base salary)
Tools
AXIOM, AI, LLM orchestration, RAG, Jira, Aha, Amplitude
AI focus
Define and deliver AI-native, agentic and AI-assisted product capabilities for digital investigations; establish verification, transparency, reversibility, escalation, and auditability. Use AI tools and prompt engineering in product work.
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