Senior Product Manager, AI-Native Products
New
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SophosCybersecurity AI
Location: CanadaFull-TimeSenior
SalaryIn Canada, the base salary for this role ranges from $134,000 to $223,000. In addition to base salary, we offer additional compensation including bonus eligibility and a comprehensive benefits package.
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Job Details
- Experience
- 5+ years of product management or related industry experience
- Required Skills
- CybersecurityProduct ManagementPrompt Engineering
Requirements
- Have 5+ years of product management or related industry experience.
- Demonstrate a track record building products for expert users and identifying the right solution for the right problem at the right time.
- Have hands-on experience with the LLM product stack, including RAG, prompt engineering, evaluations, model-selection trade-offs, latency-versus-quality decisions, and hallucination mitigation.
- Understand onboarding, default behaviors, engagement expansion, and failure modes that affect AI feature adoption and trust.
- Have strong written and verbal communication skills for working with executives and internal stakeholders.
- Have hands-on experience driving action in ambiguous spaces.
- Have cybersecurity, security operations, IT operations, or observability product experience.
- Have hands-on experience with agentic systems, such as tool-calling, multi-agent orchestration, or MCP.
- Experience with AI governance, data loss prevention, or acceptable-use policy enforcement.
- MSP or MSSP channel product experience, including multi-tenant and partner-delivered motions.
Responsibilities
- Own product strategy and roadmap for the assigned product surface, from definition through launch.
- Run design-partner and MSP-partner research, and translate customer and usage feedback into roadmap decisions.
- Lead 0-to-1 delivery with engineering, design, and go-to-market teams, managing scope and trade-offs against committed dates.
- Set activation, usage, and retention targets and run experiments to improve them.
- Partner with the Securing AI PM and AI Safety Office to meet internal AI standards and maintain the product evaluation framework.
- Provide requirements and evidence for packaging, licensing, and MSP/MSSP model decisions.
- Use AI tooling to prototype concepts, identify product risks, and inform decisions before engineering build.
- Contribute to updates, launch standups, QBR materials, and enablement content; brief executives and internal field audiences.
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