Lead Product Manager, Model Services and AI Engineering

About OpenText

OpenText is a global leader in information management, fostering innovation, creativity, and collaboration. As part of our team, you'll partner with world-renowned companies, solve complex challenges, and contribute to the future of digital transformation.

We are an AI-First, Future-Driven, Human-Centered company, where AI powers innovation, transforms work, and empowers digital knowledge workers. We seek talent that AI cannot replace to help shape the future of information management. Join us as a Lead Product Manager, Model Services and AI Engineering.

Your Role: Lead Product Manager, Model Services and AI Engineering

The AI Engineering and Enablement organization at OpenText delivers core AI capabilities, including the model services layer that supports search, summarization, automation, and generative features across our product portfolio. We are responsible for building the infrastructure, tooling, and governance frameworks that enable scalable, cost-efficient, and safe use of large language models within the enterprise.

Your Impact

You will be responsible for defining the strategy and roadmap for OpenText’s Model Services platform. This critical role includes managing model selection, tuning, optimization, evaluation, routing, cost and performance, and full lifecycle operations. This is a highly technical platform product role focused on delivering reliable, governed, and reusable large language model capabilities for all engineering teams.

You will collaborate closely with engineering and architecture teams to continuously evolve the model gateway, tuning pipelines, safety mechanisms, and ModelOps frameworks. Additionally, you will support the integration with secondary components such as retrieval augmented generation (RAG), agentic frameworks, and internal developer tooling.

What The Role Offers

• Define strategy and roadmaps for Model Services, including the model gateway, routing, tuning, evaluation, and lifecycle management.
• Translate complex technical and architectural patterns into practical, reusable platform capabilities.
• Lead the planning and successful launch of model infrastructure components with engineering partners.
• Make balanced product decisions considering cost, performance, safety, and developer experience.
• Conduct thorough market and competitive research on commercial and open-source models, runtimes, and tuning methods.
• Support downstream integrations into retrieval augmented generation, agentic systems, and internal tooling as required.

What You Need To Succeed

• 8 or more years of experience in product management or platform leadership, with at least three years specifically in AI, ML, or ModelOps.
• Strong understanding of large language model operations, including selection, inference optimization, routing, tuning, evaluation, and safety.
• Proven experience with model lifecycle management, telemetry, benchmarking, and capacity and cost planning.
• Familiarity (preferred but secondary) with generative AI frameworks or enterprise governance patterns such as LangChain, LangGraph, MCP, or A2A.
• Demonstrated success in shipping enterprise platform or developer-facing products.
• Ability to translate complex technical requirements into clear product decisions and actionable roadmaps.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical discipline.

Key skills/competency

• Product Management
• AI/ML Operations
• ModelOps
• Large Language Models (LLMs)
• Platform Strategy
• Generative AI
• Lifecycle Management
• Developer Experience
• Technical Roadmapping
• Information Management