Principal Product Manager, Model Services, AI Engineering
1 week ago
Overview Principal Product Manager (AI Engineering) at OpenText. AI-First. Future-Driven. Human-Centered. At OpenText, AI is at the heart of everything we do—powering innovation, transforming work, and empowering digital knowledge workers. We're hiring talent that AI can't replace to help us shape the future of information management. Join us. Location: Waterloo/Richmond Hill, ON (Hybrid). OpenText is more than just a corporation; it's a global community where trust is foundational, the bar is raised, and outcomes are owned. Our Employment Equity and Diversity Policy provides direction on maintaining an inclusive work environment for everyone. If you need accommodation during the application or recruiting process, please contact Responsibilities Define product strategy and roadmaps for internal AI frameworks, runtimes, and developer-facing APIs. Translate technical patterns into platform capabilities that can be scaled and reused across product teams. Lead discovery, planning, and launch of AI infrastructure components in collaboration with engineering and architecture. Balance developer experience, platform governance, and enterprise requirements in product decisions. Conduct market and competitive research to inform direction and positioning. Support commercialization and alignment with customer-facing product needs. Qualifications 10+ years of experience in product management or platform leadership roles, including 3+ years working with AI/ML, developer tools, or GenAI technologies. Strong understanding of LLM usage and operations, including prompt flows, model orchestration, and inference management. Familiarity with modern GenAI frameworks such as LangChain, LangGraph, or CrewAI (or equivalents). Experience with platform-level coordination patterns such as A2A and governance constructs such as MCP. Track record of shipping developer-facing or platform products in a technical enterprise environment. Ability to synthesize cross-functional input and translate complex technical requirements into actionable product plans. Bachelor’s or Master’s degree in Computer Science, Engineering, or related technical/product discipline. What It Offers Support for a flexible, inclusive work environment. Opportunities to influence GenAI platform components and tooling. Collaboration with engineering, architecture, and product teams across the enterprise. Legal and EEO OpenText's commitments to diversity and inclusion, and provisions for accommodations, are described above. Our policies comply with applicable laws. #J-18808-Ljbffr
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