Product Management Lead, Private Sector

Magnet Forensics•Waterloo, ON

2d•CA$150,000 - CA$200,000•Hybrid

About The Position

Magnet Forensics is redefining how enterprise DFIR integrates with modern cybersecurity operations. This role gives you the opportunity to shape the next generation of enterprise DFIR capabilities and drive strategic growth across our private sector portfolio. As Product Management Lead, Private Sector, you will own the strategy and execution of a new enterprise DFIR and cybersecurity offering. You’ll partner closely with customers, prospects, and internal teams to define, validate, and deliver solutions that solve real-world challenges and create measurable business impact. You’ll also collaborate with the Director of Product Management and peer PMs to advance Magnet’s next generation platform. This is a high-impact individual contributor role with broad exposure, perfect for someone who thrives on complexity, collaboration, and delivering measurable results.

Requirements

7-10 years in product management, ideally with enterprise SaaS products.
Ability to work closely with engineering teams to understand cloud-native solution architectures and evaluate trade–offs across complexity, scalability, and customer value; prior technical experience is a plus.
Experience managing products and familiarity cybersecurity workflows, enterprise security operations, or adjacent security domains; prior technical experience is a plus.
Skilled at interpreting market data, customer insights, and usage metrics to drive decisions.
Strong collaboration skills and the ability to communicate effectively with both technical teams and executive stakeholders.
Act as the champion for your product, anticipating challenges, removing obstacles, and driving momentum across teams to achieve meaningful business results.
Hands-on experience using AI tools for requirements gathering, user story generation, and specification writing. Familiarity with prompt engineering and leveraging AI for accelerating product documentation and ideation.

Nice To Haves

Industry experience in Digital Forensics, and deeper hands-on exposure to cybersecurity product, practitioner, or enterprise security workflows.
Experience with Pragmatic Marketing, Design Thinking, Jobs To Be Done, or equivalent.
Exposure to AI-driven product management workflows or tools (e.g., for backlog grooming, persona development, or competitive analysis).
Experience in Agile development and familiarity with common agile, product management, and user analytics tooling including Jira, Aha, and Amplitude.

Responsibilities

Own the strategy: Define and drive the product vision, long-term roadmap, and success metrics for your product.
Master the market: Develop deep expertise in enterprise DFIR, cybersecurity workflows, competitive dynamics, and emerging trends to inform strategic decisions.
Deliver a compelling offer: Translate market insights into a differentiated, scalable product offering that aligns with customer needs and business goals.
Navigate competing priorities: Make thoughtful tradeoffs across scope, quality, and timelines while maintaining alignment with strategic objectives.
Drive clarity: Break down ambiguous problem spaces into structured, actionable plans that create alignment at the leadership level and enable teams to execute with confidence.
Drive customer insight: Engage directly with customers and prospects through virtual conversations, onsite visits, workshops, and discovery sessions to deeply understand their workflows, pain points, and unmet needs.
Lead strategic visibility & alignment: Identify and track critical metrics to track success and provide clear, outcome focused communication to executive stakeholders and cross functional partners to articulate progress against strategic goals.
Collaborate across teams: Partner with engineering, UX, and other PMs to ensure experiences are intuitive, consistent, and aligned with key personas.
Influence cross functionally: Build strong relationships with GTM, customer success, support, and leadership to drive alignment and optimize results.
Leverage AI for product development: Utilize AI-powered tools to accelerate requirements gathering, user story creation, and specification development, ensuring clarity and completeness while improving efficiency.