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 ...
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 ...
Director, Product Management - Examination & Analysis
$224K - $234K/yr
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 ...
Director, Product Management - Examination & Analysis
$224K - $234K/yr
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 ...
Magnet Forensics information
See Georgia salary details
$8.04 - $14.59
7% of jobs
$14.59 - $21.13
5% of jobs
$21.13 - $27.68
7% of jobs
$30.51 is the 25th percentile. Wages below this are outliers.
$27.68 - $34.23
12% of jobs
The median wage is $40.59 / hr.
$34.23 - $40.77
19% of jobs
$40.77 - $47.32
17% of jobs
$50.97 is the 75th percentile. Wages above this are outliers.
$47.32 - $53.87
14% of jobs
$53.87 - $60.41
8% of jobs
$60.41 - $66.96
5% of jobs
$66.96 - $73.50
3% of jobs
$73.50 - $80.05
2% of jobs
$8
$43
$80
How much do magnet forensics jobs pay per hour?
What are the key skills and qualifications needed to thrive in the Magnet Forensics position?
To thrive in a Magnet Forensics role, you need a strong background in digital forensics, cybersecurity, and investigative techniques, often supported by relevant degrees or certifications like GCFE or EnCE. Expertise with forensic tools such as Magnet AXIOM, EnCase, and FTK is crucial for analyzing digital evidence and conducting comprehensive investigations. Analytical thinking, attention to detail, and effective communication are important soft skills for interpreting data and presenting findings. These competencies ensure accurate evidence handling, effective case work, and successful collaboration with legal and law enforcement teams.
What is a Magnet Forensics?
A Magnet Forensics job typically involves working with digital forensics software to recover, analyze, and report on digital evidence from electronic devices. Professionals in this role may work in law enforcement, corporate security, or private investigations to uncover evidence related to cybercrime, fraud, or other digital incidents. Responsibilities often include using Magnet Forensics tools, such as Magnet AXIOM, to extract and interpret data from devices. Strong technical skills in computer forensics, cybersecurity, and data analysis are essential for success in this field.
What are the daily responsibilities of a digital forensics professional at Magnet Forensics?
As a digital forensics professional at Magnet Forensics, your daily tasks typically include gathering and preserving digital evidence, analyzing various devices using forensic software tools, and documenting your findings in detailed reports. You may collaborate closely with law enforcement, corporate security teams, or legal professionals to support ongoing investigations. Regular responsibilities also involve staying updated on emerging cyber threats, attending team briefings, and sometimes providing expert testimony. The role is dynamic and requires a mix of technical investigation, teamwork, and clear communication to help solve complex digital cases.
What are the most commonly searched types of Magnet Forensics jobs in Georgia?
The most popular types of Magnet Forensics jobs in Georgia are:
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For Magnet Forensics jobs in Georgia, the most frequently searched job titles are:
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Cities in Georgia with the most Magnet Forensics job openings:

Full-time
Medical, Retirement
Re-posted 23 days ago
Job description
- 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.
- 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.
- Travel: 5-15%.
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.
AI-native operator (required): You use AI as a default part of how you work, not an occasional assist. 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.
Experience: 7-10 years in product management, ideally with enterprise SaaS, including meaningful time on AI or ML-powered products.
Adoption and growth: Demonstrated track record driving product adoption, activation, retention, and growth, ideally in a product-led motion.
Data-driven decision making: Fluent with product analytics and experimentation. You instrument what you build and let metrics guide tradeoffs.
Product discovery: Skilled in continuous discovery and validation techniques (customer interviews, opportunity-solution mapping, Jobs To Be Done).
Technical acumen: Able to partner closely with engineering and data science on AI system design (models, retrieval, evaluation, latency, cost) and to reason about tradeoffs across complexity, scalability, trust, and customer value.
Analytical mindset: Skilled at interpreting market data, customer insight, and usage metrics to drive decisions.
Influence and communication: Strong collaboration skills and the ability to communicate effectively with both technical teams and executive stakeholders.
Ownership mindset: Act as the champion for your product, anticipating challenges, removing obstacles, and driving momentum to meaningful business results.
Industry experience in Digital Forensics, Incident Response, cybersecurity, or other regulated, high-trust domains.
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 building within On-Premise and Hybrid Deployment models.
Experience with Pragmatic Marketing, Design Thinking, Jobs To Be Done, or Continuous Discovery, or equivalent.
Comfort building working prototypes or demos with AI app builders and coding copilots.
Experience in Agile development and familiarity with product and analytics tooling including Jira, Aha, and Amplitude.
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
Salary range (min - max)
Position Type: New Position