Principal Product Manager (AI Engineering)

OpenText

Waterloo

Hybrid

CAD 120,000 - 160,000

Full time

14 days+

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Job summary

A leading software development company in Waterloo, Ontario is seeking a Principal Product Manager for AI Engineering. This role involves defining product strategy, leading development of AI frameworks, and collaborating with engineering teams. Ideal candidates have over 10 years of experience in product management, with a strong background in AI/ML technologies. The position offers a hybrid work model.

Qualifications

10+ years of experience in product management or platform leadership roles.
3+ years of experience with AI/ML, developer tools, or GenAI technologies.
Strong understanding of LLM usage and operations.

Responsibilities

Lead the strategy and roadmap for our internal GenAI platform components.
Define product strategy for internal AI frameworks.
Conduct market and competitive research to inform product direction.

Skills

Product management

AI/ML technologies

Developer tools

GenAI technologies

Cross-functional collaboration

Education

Bachelor's or Master’s degree in Computer Science, Engineering, or related field

Tools

LangChain

LangGraph

CrewAI

Job description

Principal Product Manager (AI Engineering)

Join to apply for the Principal Product Manager (AI Engineering) role at OpenText

Principal Product Manager (AI Engineering)

Join to apply for the Principal Product Manager (AI Engineering) role at OpenText

Direct message the job poster from OpenText

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.

Principal Product Manager, AI Engineering Waterloo/Richmond Hill, ON (Hybrid)

The AI Engineering and Enablement organization delivers OpenText’s foundational AI capabilities and shared services to accelerate GenAI adoption across the enterprise. In addition to building scalable AI toolkits and operational infrastructure, the team defines technical patterns and works with product and architecture leaders to promote aligned, secure, and effective AI development.

Your Impact:

As Principal Product Manager, AI Engineering, you will lead the strategy and roadmap for our internal GenAI platform components, including developer toolkits, orchestration frameworks, and agentic foundations. This is a technical product management role focused on enabling scalable and governed use of GenAI through reusable capabilities and patterns.

You will work closely with engineering and architecture to evolve our AI foundations, supporting initiatives such as MCP, A2A, and RAG, into productized services and toolkits. At the same time, you’ll bring a strong product mindset, ensuring that our platforms meet the needs of engineering teams, align with commercialization goals, and are competitive in approach.

This role requires both hands-on familiarity with GenAI development and the strategic vision to guide platform evolution across a diverse product portfolio.

What the role offers:

Defining product strategy and roadmaps for internal AI frameworks, runtimes, and developer-facing APIs.
Translating technical patterns into platform capabilities that can be scaled and reused across product teams.
Leading discovery, planning, and launch of AI infrastructure components in collaboration with engineering and architecture.
Balancing developer experience, platform governance, and enterprise requirements in product decisions.
Conducting market and competitive research to inform direction and positioning.
Supporting commercialization and alignment with customer-facing product needs.

What you need to succeed:

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 experience with 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.

One last thing:

OpenText is more than just a corporation, it's a global community where trust is foundational, the bar is raised, and outcomes are owned.

Join us on our mission to drive positive change through privacy, technology, and collaboration.

At OpenText, we don't just have a culture; we have character. Choose us because you want to be part of a company that embraces innovation and empowers its employees to make a difference.

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