Job Description

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.

YOUR IMPACT:

We are seeking a Principal Product Manager to lead the evolution of our enterprise AI platform and intelligence capabilities that power next-generation supply-chain solutions. This role defines how mission-critical business data is transformed into actionable intelligence through advanced AI/ML models, generative AI workflows, and autonomous decisioning systems.

You will shape the long-term AI strategy, partner closely with engineering and data science leadership, and guide the development of foundational AI capabilities that enable predictive analytics, automation, and intelligent decision-making across all customer-facing products.

This role is ideal for someone who thrives in complex, high-scale AI ecosystems, can translate cutting-edge AI concepts into business outcomes, and is motivated to build the backbone of next-generation supply-chain intelligence.

WHAT THE ROLE OFFERS:

Key Responsibilities



Own the end-to-end strategy and roadmap for the enterprise AI platform--including model lifecycle management, data-to-intelligence pipelines, governance, and scalable APIs for AI-driven services. Drive the evolution from data-centric processing to an intelligence-first architecture, enabling real-time predictions, anomaly detection, semantic enrichment, and generative AI-powered workflows. Define and institutionalize reusable AI components and patterns--such as feature stores, model registries, and inference services--that accelerate delivery for multiple product teams while reducing operational complexity. Collaborate with engineering, architecture, and AI/ML teams to operationalize next-generation capabilities--predictive models, autonomous mapping, semantic reasoning, and generative AI for insights and resolution. Engage directly with customers and internal stakeholders to ensure AI investments translate into measurable business value and adoption across industries like manufacturing, retail, automotive, and logistics. Champion AI-first thinking across the organization, ensuring scalability, ethical AI practices, and long-term durability of systems that will underpin the next decade of supply-chain modernization.

WHAT YOU NEED TO SUCCEED:

10+ years of Product Management experience, with strong exposure to AI/ML platforms, distributed systems, and large-scale intelligence-driven products. Demonstrated technical fluency across AI pipelines, model lifecycle management, inference frameworks, and API ecosystems. Proven ability to operate in ambiguous, complex problem spaces--bringing clarity, structure, and strategic direction to long-horizon AI initiatives. Experience partnering with engineering and data science leadership on platform-scale AI capabilities that support multiple products and business units. A customer-obsessed mindset, with a track record of translating sophisticated AI challenges into intuitive, reusable, business-ready capabilities. Excellent communication and storytelling skills, with the ability to influence senior leaders and drive alignment across diverse technical and non-technical teams.

OpenText's efforts to build an inclusive work environment go beyond simply complying with applicable laws. Our Employment Equity and Diversity Policy provides direction on maintaining a working environment that is inclusive of everyone, regardless of culture, national origin, race, color, gender, gender identification, sexual orientation, family status, age, veteran status, disability, religion, or other basis protected by applicable laws.

If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please submit a ticket atAsk HR. Our proactive approach fosters collaboration, innovation, and personal growth, enriching OpenText's vibrant workplace.