Product Management Lead, AI

Who We Are;
What We Do;
Where We’re Going

Magnet Forensics is a global leader in the development of digital investigative software that acquires, analyzes, and shares evidence from computers, smartphones, tablets, and IoT-related devices. We are continually innovating so our customers can deploy advanced and effective tools to protect their companies, communities, and countries.

Serving thousands of customers globally, our solutions are playing a crucial role in modernizing digital investigations, helping investigators fight crime, protect assets, and guard national security.

With employees based around the world, Magnet Forensics has been expanding our global presence. As a part of Magnet Forensics, you can expect to make a difference in the world, no matter what role you play. You’ll be supported through learning and development, not to mention an incredible team with unbelievable talent and integrity.

If you think you would be the right person to join our team working towards this goal, we would love to hear from you!

Magnet Forensics is building the next generation of AI-native, agentic capabilities across our digital forensics and incident response (DFIR) portfolio. This role is your opportunity to define and ship agentic experiences that change how investigators, examiners, and analysts do their most important work.

As Product Management Lead, Agentic AI, you will drive the strategy and execution for agentic product experiences across the Magnet portfolio. You will turn fast-moving AI capabilities into trusted, governed products across the entire Magnet One platform that delivers measurable value, partnering closely with customers, engineering, design, data science, and go-to-market teams. 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.

• Drive the agentic strategy:
  Drive the product vision, roadmap, and success metrics for agentic experiences across the portfolio, from focused agent workflows to full orchestration.
• 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.
• Make autonomy trustworthy:
  Treat governance as an enforced constraint, not an aspiration. Define hard limits, output verification, reversibility, escalation paths, and auditability so users can trust what an agent does on their behalf.
• 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.
• 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.
• Decide with data:
  Instrument every experience, define the metrics that matter, and run a disciplined experimentation practice (A/B tests, funnels, cohort analysis) so decisions are grounded in evidence, not opinion.
• Run continuous discovery:
  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.
• Master the market:
  Develop deep expertise in DFIR, the agentic AI landscape, competitive dynamics, and emerging model and tooling trends to inform strategic bets.
• Navigate competing priorities:
  Make thoughtful tradeoffs across scope, quality, trust, and timelines while staying aligned to strategic objectives.
• 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.
• Coll…