Technical Product Manager
Role Overview
Own go-to-market strategy and the product development lifecycle for ZenaTech.
Lead commercial introduction, validate market fit, and define a roadmap for international expansion.
This is a five-day on-site position in Toronto.
Key Skills for This Role
Full Job Posting
Role overview
Own go-to-market strategy and the product development lifecycle for ZenaTech.
Lead commercial introduction, validate market fit, and define a roadmap for international expansion.
This is a five-day on-site position in Toronto.
About ZenaTech
ZenaTech specializes in AI drones, Drone-as-a-Service, enterprise SaaS, and quantum computing for mission-critical business applications.
The company develops software and drone design and manufacturing capabilities for inspection, monitoring, safety, security, compliance, and surveying.
Responsibilities
- Lead launch strategy with Sales, Marketing, and Engineering; establish positioning, pricing, packaging, and partner enablement.
- Develop value propositions for enterprise field service clients and use user feedback, analytics, and market trends to evolve product vision.
- Conduct industrial client and telecom provider field visits and interviews; prioritize customer needs, pain points, and features.
- Coordinate AI training workflows and work with AI engineers on context-aware training and support features.
- Serve as liaison across engineering, design, marketing, and sales; manage backlog, sprints, and product milestones.
- Define adoption, engagement, and retention KPIs and update the roadmap using insights and performance metrics.
Required qualifications
- At least 4 years of product management experience; SaaS, AR/VR, or AI-enhanced platform experience is preferred.
- Experience launching hardware/software hybrid products.
- Excellent communication and stakeholder management skills.
- Proficiency in agile frameworks and product discovery techniques.
- Familiarity with enterprise field service operations or industrial IoT is a plus.
Preferred skills
- Preferred backgrounds include AR/VR, AI-assisted learning, or wearable technology.
- Preferred technical fluency includes video streaming, edge computing, or smart glass interfaces.
- International or cross-cultural work experience is preferred.
Compensation
- Pay is CAD 70,000 to CAD 75,000 per year.
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