Key Responsibilities:
- Strategy & Vision: Partner with engineering leaders in AI to own the overall AI product strategy across the entire platform and product portfolio, ensuring alignment with company goals and customer needs. Develop and communicate a clear vision for AI capabilities and identify key areas for innovation and differentiation that takes user needs and AI research into consideration.
- Cross-functional Collaboration: Serve as the primary point of contact for all AI-related initiatives, providing leadership and clear direction to cross-functional teams. Work with leadership and stakeholders to ensure buy-in and alignment on AI product initiatives.
- Ownership & Execution: Own the AI product portfolio, across the entire product lifecycle, ensuring successful delivery and high user adoption. Partner closely with engineering and research to run 0-to-1 experiments on AI concepts that solve emerging user challenges and push the boundaries of what’s possible.
- User Adoption & Engagement: Drive adoption of AI-driven features, ensuring seamless integration into the user experience and ongoing user satisfaction. Work collaboratively with Engineering to make data-driven decisions on AI model/capability improvements and optimizations.
- Market & Competitive Analysis: Stay ahead of industry trends and conduct competitive analysis to understand the evolving AI landscape and identify opportunities for differentiation. Gather insights from customers, industry experts, and internal teams to shape AI product offerings and inform future roadmaps.
- Travel: 20%.
Qualifications:
- 5+ years of experience in Product Management, with at least 2 years focused on AI/ML products. Proven track record of successfully managing end-to-end product lifecycles across complex product portfolios.
- Strong understanding of AI technologies, their application to real-world problems, and their business impact. Experience in managing AI product strategy and roadmaps with a focus on user adoption, product growth, and business outcomes.
- Exceptional collaboration skills with the ability to lead cross-functional teams and influence stakeholders at all levels. Excellent communication and presentation skills, with the ability to clearly articulate complex ideas to both technical and non-technical audiences.
- A “think outside the box” Leader who embodies and demonstrates an ownership mindset.
- A true sense of customer empathy – recognizing & caring genuinely about the motivations, challenges & frustrations of our customers & advocating for solutions to resolve them.
- Demonstrate the ability to establish and deliver world-class user experiences in partnership with design teams.
- Experience with understanding, balancing and delivering upon the needs of multiple user personas within a single software product.
- Creating trust & strong relationships with various cross-functional teams from Engineering to Sales.
- Experience working in agile development environments and using product management tools such as Jira, Confluence, and others.
Nice To Have:
- Bachelor’s degree or College Diploma in a technology related field.
- Involved with early/growth stage SaaS software products.
- Experience in leading AI-powered products.
- Familiarity with cloud platforms and services related to AI/ML (e.g., AWS, GCP, Azure).
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 (ie. most Sales roles) the range below represents total target compensation (TTC) (base salary + variable).
- MIN: $128,800 - MID: $161,000 - MAX: $193,200 USD
- MIN: $107,200 - MID: $134,000 - MAX: $160,800 CAD
Magnet Forensics 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.

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