
11 - 50 Mitarbeiter
🤖 Künstliche Intelligenz
🤝 B2B
🏢 Unternehmen
Artificial Intelligence • B2B • Enterprise
Redcan. ai entwickelt agentic-AI-Produkte und -Tools, die B2B-Unternehmen im Bereich Enterprise-Software dabei unterstützen, ihre Möglichkeiten zur Produktbereitstellung zu skalieren. Die Produkte automatisieren die Bereitstellung und Konfiguration komplexer Geschäftsprozesse und Anforderungen, senken Kosten und Komplexität und verkürzen zugleich die Time-to-Value. Redcan. ai versteht sich als Anbieter spezialisierter Engineering-Teams und Software-Engineering-Services. Dabei verbindet das Unternehmen seine Expertise in Legacy-Systemen mit modernen AI-Tools, um die kognitive Einstiegshürde für Enterprise-Anwender zu senken, Kundenzufriedenheit und Kundenbindung zu steigern und eine schnellere sowie zuverlässigere Bereitstellung von Enterprise-Software zu ermöglichen.
🕒 vor 9 Tagen
🇨🇦 Kanada – Remote
💵 CA$150.000 - CA$190.000 / Jahr
⏰ Vollzeit
🔴 Experte
✅ Produktmanager
👻 Geisterscore 0%
🗣️🇺🇸🇬🇧 Englisch erforderlich
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11 - 50 Mitarbeiter
🤖 Künstliche Intelligenz
🤝 B2B
🏢 Unternehmen
Artificial Intelligence • B2B • Enterprise
Redcan. ai entwickelt agentic-AI-Produkte und -Tools, die B2B-Unternehmen im Bereich Enterprise-Software dabei unterstützen, ihre Möglichkeiten zur Produktbereitstellung zu skalieren. Die Produkte automatisieren die Bereitstellung und Konfiguration komplexer Geschäftsprozesse und Anforderungen, senken Kosten und Komplexität und verkürzen zugleich die Time-to-Value. Redcan. ai versteht sich als Anbieter spezialisierter Engineering-Teams und Software-Engineering-Services. Dabei verbindet das Unternehmen seine Expertise in Legacy-Systemen mit modernen AI-Tools, um die kognitive Einstiegshürde für Enterprise-Anwender zu senken, Kundenzufriedenheit und Kundenbindung zu steigern und eine schnellere sowie zuverlässigere Bereitstellung von Enterprise-Software zu ermöglichen.
• 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
• 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
• 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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