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.
Lead Product Manager, Model Services and AI Engineering (Hybrid)
The AI Engineering and Enablement organization delivers OpenText’s core AI capabilities, including the model services layer that supports search, summarization, automation, and generative features across our product portfolio. We build the infrastructure, tooling, and governance frameworks that enable scalable, cost efficient, and safe use of large language models in the enterprise.
Your Impact:
You will own the strategy and roadmap for OpenText’s Model Services platform. This includes model selection, tuning, optimization, evaluation, routing, cost and performance management, and lifecycle operations. This is a technical platform product role focused on delivering reliable, governed, and reusable large language model capabilities for all engineering teams.
You will work closely with engineering and architecture to evolve the model gateway, tuning pipelines, safety mechanisms, and ModelOps frameworks. You will also support integration with secondary components such as retrieval augmented generation, 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 technical and architectural patterns into reusable platform capabilities.
- Lead planning and launch of model infrastructure components with engineering partners.
- Balance cost, performance, safety, and developer experience in product decisions.
- Conduct 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 where needed.
What you need to succeed:
- 8 or more years in product management or platform leadership, including three or more years in AI, ML, or ModelOps.
- Strong understanding of large language model operations, including selection, inference optimization, routing, tuning, evaluation, and safety.
- 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 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.
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.
