Responsable principale(e) de produit, IA
Role Overview
Hypertec is hiring a senior product leader for its sovereign AI platform in its project management team.
The role owns product direction and takes AI capabilities from proof of concept to commercial product.
Key Skills for This Role
Full Job Posting
Role overview
Hypertec is hiring a senior product leader for its sovereign AI platform in its project management team.
The role owns product direction and takes AI capabilities from proof of concept to commercial product.
What you will do
- Own the platform vision, roadmap, and backlog, including AI capabilities, agents, and business-system integrations.
- Lead user discovery and use customer feedback to guide platform decisions and priorities.
- Prioritize work based on business value, adoption, capacity, security, and technical debt.
- Write user stories and acceptance criteria, and evaluate delivered work against them.
- Support Agile ceremonies and clarify priorities for the development team.
- Coordinate access controls, audit logging, data connections, and governance with technical and security teams.
- Define platform measures and report adoption, satisfaction, reuse, and business value to leadership.
- Lead product readiness for external customers and collaborate on the commercial offer, pricing inputs, and launch.
Required qualifications
- At least 7 years in product ownership or management, including at least 3 years managing a software product or platform roadmap and backlog.
- Recent experience commercializing software proofs of concept and launching products across multiple business units or companies.
- Experience in user discovery, Agile delivery, user stories, and acceptance criteria.
- Practical understanding of platforms, APIs, system integration, and identity and access management.
- Daily hands-on use of generative AI tools and understanding of LLM behavior, limitations, and failure modes.
- Advanced spoken and written French and English; English is required for daily collaboration beyond Quebec.
Preferred qualifications
- Technical degree or equivalent experience; private, on-premises, or sovereign AI deployment experience; enterprise systems experience.
- AI agent tools, MCP, AI governance, data classification, privacy frameworks such as Quebec Law 25, CSPO or PSPO, Jira, and Confluence are preferred.
Work arrangement
- Hybrid work model with three days per week in person.
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