Magnet Forensics

Product Management Lead, AI

Waterloo / Ottawa / Toronto/ Ontario · Contract

Work authorization required$175k-$225kDetected 28 days ago

Machine LearningSparkData AnalysisData ScienceLLMsRAGAgentic AIAI OrchestrationA/B TestingIncident ResponseProduct ManagementProduct StrategyJiraPRDsRecruitingCustomer SuccessResearchLeadershipCommunicationCollaboration

About the role

This role is your opportunity to define and ship agentic experiences that change how investigators, examiners, and analysts do their most important work.
You have already built agentic experiences elsewhere, and you will help us do the same here, at the scale and trust bar that forensic work demands.
This is a high-impact individual contributor role for a builder who is energized by frontier AI, comfortable with ambiguity, and focused on adoption, growth, and outcomes that show up in the data.

Responsibilities

Build agentic experiences that ship: Design and deliver AI-native products (agents, copilots, human-in-the-loop workflows, tool use, retrieval, and reasoning) that are reliable, explainable, and production grade.
Drive growth: Build and instrument growth loops, expansion, and retention. Partner with go-to-market and growth to turn capability into usage, usage into value, and value into revenue.
Master the market: Develop deep expertise in DFIR, the agentic AI landscape, competitive dynamics, and emerging model and tooling trends to inform strategic bets.
Drive clarity: Break ambiguous problem spaces into structured, actionable plans that align leadership and let teams execute with confidence.
Lead strategic visibility and alignment: Track the metrics that signal success and give clear, outcome-focused updates to executives and cross-functional partners.
Collaborate across teams: Partner with engineering, UX, data science, and peer PMs to deliver experiences that are intuitive, consistent, and aligned to key personas.
Influence cross-functionally: Build strong relationships with GTM, customer success, support, and leadership to drive alignment and optimize results.
Work AI-natively: Default to AI across your own workflow (discovery, research, analysis, drafting, and prototyping) and model AI-native ways of working that raise the bar for the wider product team.

Requirements

Agentic AI experience (required): You have built and shipped agentic or AI-native product experiences (agents, copilots, autonomous or semi-autonomous workflows) in production.
You can speak concretely to what you shipped, what worked, and what did not.
You are fluent with current AI tools and prompt engineering for research, discovery synthesis, competitive analysis, drafting (PRDs, specs, user stories), data analysis, and rapid prototyping.
Adoption and growth: Demonstrated track record driving product adoption, activation, retention, and growth, ideally in a product-led motion.
Influence and communication: Strong collaboration skills and the ability to communicate effectively with both technical teams and executive stakeholders.

Nice to have

Hands-on experience with modern AI tooling and patterns (LLM orchestration, RAG, agent frameworks, evaluations, guardrails).
Familiarity with AI governance, safety, or responsible AI practices in a product context.
Experience with Pragmatic Marketing, Design Thinking, Jobs To Be Done, or Continuous Discovery, or equivalent.
Experience in Agile development and familiarity with product and analytics tooling including Jira, Aha, and Amplitude.
$175,000 - $225,000 (CDN) a year
Position Type: New Position
7-10 years in product management, ideally with enterprise SaaS, including meaningful time on AI or ML-powered products.
Demonstrated track record driving product adoption, activation, retention, and growth, ideally in a product-led motion.

Skills

Industry experience in Digital Forensics, Incident Response, cybersecurity, or other regulated, high-trust domains.
Experience building within On-Premise and Hybrid Deployment models.

Compensation

The Compensation range is for the primary location for which the job is posted.
Please note that the actual compensation may vary depending on location and job-related factors such as qualifications, experience, knowledge and skills.
If you are applying for this role outside of the primary location and you are selected for an interview, the Talent Acquisition Partner can share more information with you.
If the compensation structure for the role includes an incentive component (i.e. most Sales roles) the range below represents total target compensation (TTC) (base salary + variable).
$175,000 - $225,000 (CDN) a year
$150,000 - $200,000 (USD) a year

Benefits

Drive the product vision, roadmap, and success metrics for agentic experiences across the portfolio, from focused agent workflows to full orchestration.
Generous time off policies
Healthcare and retirement benefits
Magnet is proud to offer benefits such as:

Company info

Engage customers and prospects through interviews, onsite visits, workshops, and discovery sessions.
Map opportunities to solutions, validate before building, and keep a living view of unmet needs.
Drive product adoption for AI: Own activation, onboarding, and the path to habitual use. Reduce friction, design for time to value, and grow adoption across new customers, existing customers, and internal teams.
Run continuous discovery: Engage customers and prospects through interviews, onsite visits, workshops, and discovery sessions.
At Magnet Forensics, we take a hybrid-flexible approach to support your productivity and work-life balance.

Visa & Work Authorization

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.

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This listing is sourced directly from Magnet Forensics's careers page and normalized into a canonical job model.