远程工作雷达

产品管理负责人

Product Management Lead

其他未标注地域
公司Magnetforensics
薪资未公开
工作地点Waterloo / Ottawa / Toronto/ Ontario
地域资格未标注地域
时区要求无特别要求
用工类型Full-Time
发布时间未知
数据来源Lever
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Magnet Forensics 是数字取证软件开发领域的全球领导者,我们的软件能够从电脑、智能手机、平板和物联网相关设备中获取、分析和共享证据。我们不断进行创新,使客户能够部署先进的有效工具来保护他们的公司、社区和国家。

我们为全球数千家客户提供服务,我们的解决方案在现代化数字调查方面发挥着关键作用,帮助调查人员打击犯罪、保护资产并维护国家安全。

在全球拥有员工,Magnet Forensics 正在不断扩大我们的全球影响力。作为 Magnet Forensics 的一员,无论你担任什么角色,都可以对世界产生影响。你将获得学习和发展的支持,更不用说一个拥有非凡才华和诚信的团队。

如果你认为自己是加入我们团队实现这一目标的合适人选,我们很期待收到你的消息!

职位概述

Magnet Forensics 正在构建其核心产品的下一代,包括在其数字取证和事件响应(DFIR)产品组合中的原生 AI 和代理功能。这个职位是你定义和推出改变调查员、检查员和分析师最重要工作的代理体验的机会。

作为高级产品经理,你将推动战略和执行,以推动增长、创新以及 Magnet 产品组合中“检查与分析”领域核心产品的下一阶段发展。你将跨职能合作,与客户、工程、设计、产品营销、数据科学和市场推广团队紧密配合。你是一位重视产品管理技艺的人,经历过从 0 到 1 构建产品、扩展成熟产品以及淘汰产品/功能的整个产品生命周期。你过去曾在受监管的环境中工作,并相信产品经理应具备总经理思维。

这是一个高影响力的个人贡献者职位,适合一位被前沿 AI 激励、习惯于模糊性,并专注于采用、增长和在数据中体现成果的建设者。

薪酬与福利

该薪酬范围适用于职位发布的主办公地点。请注意,实际薪酬可能因地点和与工作相关的因素(如资质)而有所不同

查看英文原文

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!

Role Overview

Magnet Forensics is building the next generation of its core Products, including 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  a Lead Product Manager, you will drive the strategy and execution for driving growth, innovation and the next phase of our core Product within the Examination and Analysis space within Magnet’s product portfolio.  You will work cross-functionally, partnering closely with customers, engineering, design, product marketing, data science, and go-to-market teams. You are an individual who cares of the craft of Product Management and have ran the gamut of the entire Product Lifecycle from building products 0 to 1, scaled mature products and sunset products/features. You have worked in regulated spaces in the past and believe that PM’s work with a GM mindset.

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.

Compensation & Benefits

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

Magnet is proud to offer benefits such as:

- Generous time off policies

- Competitive compensation

- Volunteer opportunities

- Reward and recognition programs

- Employee committees & resource groups

- Healthcare and retirement benefits

Indicators of Success

We’re looking for someone who checks off most, but not all, of the boxes listed in “skills and experiences”.  It’s more important to us to find candidates who can display indicators of success through skills they have developed and experiences they have been a part of, than to find folks who have “been there, done that”.  We want to be part of your development journey, and we’ll learn as much from you as you learn from us.

How We Work

At Magnet Forensics, we take a hybrid-flexible approach to support your productivity and work-life balance. If you’re within a comfortable travel distance to one of our offices, you’ll occasionally join us in person. How often you’ll come in depends on your department and team needs, typically ranging from weekly to monthly. These in-person moments help us build stronger connections, spark new ideas, and celebrate our successes together. Most days, you can choose what works best for you, while staying in tune with your team’s goals.

We’re excited to welcome you to our team and look forward to achieving great things together - both in the office and wherever you work best!

The Most Important Thing

We’re looking for candidates that can provide examples of how they have demonstrated Magnet CODE in their previous experiences:

CARE – We care about each other and our mission to make a difference in the world.

OWN – We are accountable for our results – while never forgetting to act with integrity, empathy, and respect.

DEDICATE – We put our heart and soul into meeting the needs of our customers and helping them serve the people they protect.

EVOLVE – We are constantly innovating and exploring new ways to work together to make an impact with our work.

Here at Magnet Forensics, we are committed to continuous learning and are focused on building a diverse and inclusive workforce. This commitment will be reflected in our hiring processes and embedded in our values and how we treat one another. If you’re interested in this role, but do not meet all of the qualifications listed above, we encourage you to apply anyways.

Magnet Forensics is an Equal Opportunity Employer and considers applicants for employment without regard to race, colour, religion, sex, orientation, national origin, age, disability, genetics or any other basis forbidden under federal, provincial, or local law. We are committed to providing an inclusive, accessible recruitment process and work environment. Accommodation is available to all applicants upon request throughout the hiring process. Please contact aoda@magnetforensics.com should you require any accommodations.

All offers of employment at Magnet are contingent upon satisfactory completion of a background check. All background checks will be conducted in accordance with all applicable laws. Magnet will consider each position’s job duties, among other factors, in determining what constitutes satisfactory completion of the background check. Refusal to consent to a background check may be grounds for revoking an offer of employment.

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.

Magnet Forensics handles and uses personal data of job applicants in line with its Recruitment Privacy Policy found here.

What You'll Do

  • Drive the product discovery of the evolution of one of Magnet’s core products: execute upon the product vision, roadmap, and success metrics for the examination and analysis product, including agentic experiences within it.
  • Own the outcome like a GM: Own the success of your area end to end: strategy, roadmap, positioning inputs, pricing inputs, and the business results. Set the bar for what "good" looks like and be accountable for whether it landed, not just whether it shipped.
  • Build experiences that ship: Design and deliver product that examiners and investigators actually use in casework, from core AXIOM workflows through AI-assisted capabilities (copilots, human-in-the-loop review, retrieval, automation). Production grade, reliable, and defensible.
  • Build for trust and defensibility: In forensics the output has to hold up. Define verification, transparency into how a result was produced, reversibility, escalation paths, and auditability so users can defend the work downstream. Treat this as an enforced constraint, not an aspiration.
  • Run continuous discovery: Engage customers and prospects through interviews, onsite visits, lab ride-alongs, workshops, and discovery sessions. Map opportunities to solutions, validate before building, and keep a living view of unmet needs.
  • 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.
  • Drive adoption and growth: Own activation, onboarding, and the path to habitual use. Reduce friction, design for time to value, and build the loops that turn usage into expansion and retention. Partner with go-to-market and growth to convert capability into usage, usage into value, and value into revenue.
  • Master the market: Develop deep expertise in DFIR (Digital Forensics and Incident Response), competitive dynamics, customer workflows, and where emerging technology (including AI) meaningfully changes how investigations get done. Use it 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, prototyping) and model AI-native ways of working that raise the bar for the wider product team.
  • Travel: 5-15%.

What We’re Looking For

  • 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 & GovTech experiences.
  • 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.

Nice to Have Skills

  • 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.
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