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Magnet Forensics

Digital forensics software for evidence management

Lead Product Manager

Product ManagementConfirmed live in the last 24 hours
Full-timeCA$175k - CA$225k /yr

About the Job

Requirements

  • Use artificial intelligence as a default part of work and be fluent with current AI tools and prompt engineering for research, discovery synthesis, competitive analysis, drafting product requirements documents, specifications and user stories, data analysis, and rapid prototyping.
  • Have 7–10 years of product management experience; enterprise software-as-a-service and government technology experience is ideal.
  • Demonstrate a track record driving product adoption, activation, retention, and growth, ideally in a product-led motion.
  • Be fluent with product analytics and experimentation, instrumenting products and using metrics to guide tradeoffs.
  • Be skilled in continuous discovery and validation techniques, including customer interviews, opportunity-solution mapping, and Jobs To Be Done.
  • Have the technical acumen to partner with engineering and data science on AI system design, including models, retrieval, evaluation, latency, and cost, and reason about complexity, scalability, trust, and customer value tradeoffs.
  • Be skilled at interpreting market data, customer insight, and usage metrics to drive decisions.
  • Communicate effectively and collaborate with technical teams and executive stakeholders.
  • Champion the product, anticipate challenges, remove obstacles, and drive momentum toward meaningful business results.

Responsibilities

  • Drive product discovery and execute the product vision, roadmap, and success metrics for the examination and analysis product, including agentic experiences.
  • Own the area’s strategy, roadmap, positioning inputs, pricing inputs, and business results, and be accountable for outcomes.
  • Design and deliver production-grade, reliable, and defensible product experiences for examiners and investigators, from core AXIOM workflows through AI-assisted capabilities such as copilots, human-in-the-loop review, retrieval, and automation.
  • Define verification, transparency into how results are produced, reversibility, escalation paths, and auditability so users can defend their work downstream.
  • Engage customers and prospects through interviews, onsite visits, lab ride-alongs, workshops, and discovery sessions; map opportunities to solutions, validate before building, and maintain a view of unmet needs.
  • Instrument product experiences, define success metrics, and run experiments such as A/B tests, funnel analyses, and cohort analyses to support evidence-based decisions.
  • Own activation, onboarding, and habitual-use adoption; reduce friction, improve time to value, and build loops that support expansion and retention; partner with go-to-market and growth teams to turn capability into usage, value, and revenue.
  • Develop expertise in digital forensics and incident response, competitive dynamics, customer workflows, and emerging technology including AI, and use that knowledge to inform strategic bets.
  • Make tradeoffs across scope, quality, trust, and timelines while staying aligned with strategic objectives.
  • Structure ambiguous problem spaces into actionable plans that align leadership and enable teams to execute.
  • Track success metrics and provide outcome-focused updates to executives and cross-functional partners.
  • Partner with engineering, user experience, data science, and peer product managers to deliver intuitive experiences aligned to key personas.
  • Build relationships with go-to-market, customer success, support, and leadership to drive alignment and optimize results.
  • Use AI across discovery, research, analysis, drafting, and prototyping, and model AI-native ways of working for the wider product team.
  • Travel 5–15%.

Desired Qualifications

  • Industry experience in digital forensics, incident response, cybersecurity, or other regulated, high-trust domains.
  • Hands-on experience with modern AI tooling and patterns, including large language model orchestration, retrieval-augmented generation, agent frameworks, evaluations, and guardrails.
  • Familiarity with AI governance, safety, or responsible AI practices in a product context.
  • Experience building within on-premise and hybrid deployment models.
  • Experience with Pragmatic Marketing, Design Thinking, Jobs To Be Done, or Continuous Discovery, or equivalent approaches.
  • Comfort building working prototypes or demos with AI app builders and coding copilots.
  • Experience in Agile development and familiarity with product and analytics tools including Jira, Aha, and Amplitude.

About the Company

Magnet Forensics

Digital forensics software for evidence management

Magnet Forensics provides digital investigation software that helps investigators collect and analyze evidence from computers, mobile devices, cloud services, and IoT. Its core products—AXIOM for multi-source data analysis and case management, GRAYKEY for mobile data extraction, and AUTOMATE for automated workflows—work by ingesting data from many sources and organizing it into a usable case file. The company differentiates itself with an integrated, end-to-end platform that draws on law enforcement and national security experience and complements Grayshift to offer a broader, single solution for digital investigations. Its goal is to help investigators quickly extract, process, examine, and manage digital evidence across cybercrime, child exploitation, corporate fraud, and national security cases in both public and private sectors.

Company size
501-1,000
Company stage
IPO
Headquarters
Waterloo, Canada
Founded
2009

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