Senior Product Manager owning education technology product decisions at Minerva. Translating learner, partner, and business needs into measurable software improvements.
About the role
- Principal Product Manager leading strategy, discovery, and delivery for Redcan’s agentic AI enterprise products. Driving validated customer outcomes across multiple SaaS initiatives.
Responsibilities
- Lead product strategy and execution across multiple products and initiatives
- Own customer problems and product outcomes from discovery through launch and adoption
- Conduct continuous discovery with customers, developers, and business users
- Identify and validate AI workflows and measurable customer value
- Track customer needs, competitors, agent frameworks, model providers, and policy developments
- Develop product knowledge, run demonstrations, configure pilots, and build working prototypes
- Define requirements for AI-enabled products, including agent roles, permissions, human review, audit trails, and feedback loops
- Partner with engineering on architecture, security, privacy, tenancy, reliability, and auditability decisions
- Own coordinated 6–12 month product roadmaps across products and projects
- Lead build, buy, hybrid, and sunset recommendations
- Set product direction, contingency plans, positioning, go-to-market plans, and pricing
- Define and report product success measures and design experiments
- Write product requirements and coordinate execution across engineering, design, and stakeholders
- Manage scope, user acceptance testing, launch preparation, risks, blockers, and dependencies
- Partner on capacity planning and return-on-investment assessments
- Present product direction and evidence to executives, engineers, portfolio companies, and customers
- Lead customer discovery sessions, demonstrations, workshops, and pilot reviews
- Mentor product managers, co-ops, and designers
- Support recruiting and onboarding
- Create reusable product management playbooks
- Represent Redcan products in the OpenText Ventures ecosystem
Requirements
- Bachelor's degree in Computer Science, Engineering, Business, or equivalent education or work experience
- 8+ years of product management experience
- End-to-end ownership of B2B SaaS products or platforms
- Leadership across multiple products, initiatives, or teams
- Experience shipping AI or LLM-powered features to production
- Understanding of quality evaluation, failure modes, and cost management
- Experience with developer platforms, enterprise software, or workflow and low-code products
- Experience in government, the public sector, or regulated industries
- Technical fluency with architecture documents, API specifications, and pull requests
- Practical proficiency with AI tools for prototyping, analysis, research synthesis, and specification writing
- Entrepreneurial initiative, ownership, and communication skills
- Authorized to work in Canada without sponsorship
- Willingness and ability to undertake occasional, reasonable business travel
- Ability to fully collaborate during core Eastern Timezone hours, typically 9 a.m. to 5 p.m.
- Preferred: Agentic AI, Model Context Protocol (MCP), workflow and case management, enterprise SaaS foundations, AI coding or design tools, Canadian public-sector context, and OpenText ecosystem experience
Benefits
- Standard 4 weeks of vacation
- 10 wellbeing days
- Fully-paid benefits
- Flexible work and personal commitments around core hours
- Regular travel opportunities for customer engagements, industry events, and team collaboration
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