Lead Product Manager

OPENTEXT - THE INFORMATION COMPANY

OpenText is a global leader in information management, where innovation, creativity, and collaboration are the key components of our corporate culture. As a member of our team, you will have the opportunity to partner with the most highly regarded companies in the world, tackle complex issues, and contribute to projects that shape the future of digital transformation.

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 are hiring talent AI can't replace to help us shape the future of information management. Join us.

Job Title: Lead Product Manager – Enterprise AI

Location: Waterloo --> Full time in-office

THE OPPORTUNITY

The OpenText AI Line of Business is looking for an experienced Product Management leader to drive the evolution of our Enterprise AI platform capabilities.

This role will work closely with Product Managers, Engineering, Architecture, Cloud Operations, and Customer Success teams to deliver scalable, secure, and high-performing AI solutions that power our growing AI portfolio. The successful candidate will bring strong expertise in cloud-native software, enterprise AI deployments, AI Governance, scalability, performance optimization, and operational excellence, while partnering closely with Product Managers across the AI portfolio to support OpenText's broader AI strategy

What the role offers

• Define and execute the roadmap for core Enterprise AI platform capabilities.
• Partner with peer Product Managers to support broader AI initiatives including customer success, governance, interoperability, and differentiated AI experiences.
• Drive investments in scalability, performance, reliability, observability, and cloud efficiency.
• Work closely with Engineering and Architecture teams on AI platform evolution, cloud-native services, and deployment automation.
• Define requirements for enterprise AI deployments, including large-scale RAG, agentic AI, model orchestration, and retrieval services.
• Collaborate with CloudOps and Security teams to improve operational excellence, release quality, and deployment velocity.
• Support strategic customer engagements by translating deployment challenges into platform improvements.
• Perform competitive analysis and market research to identify opportunities for innovation and differentiation.
• Align cross-functional stakeholders across Product, R&D, Sales, Marketing, and Customer Success.

What you need to succeed

• 8+ years of Product Management, Product Ownership, or related experience.
• Experience delivering enterprise SaaS or cloud-native software solutions.
• Strong understanding of Microsoft Azure and/or Google Cloud Platform (GCP).
• Experience with Generative AI, LLMs, Retrieval Augmented Generation (RAG), AI agents, and enterprise AI architectures.
• Understanding of large-scale AI deployments, scalability challenges, and performance optimization.
• Experience driving cloud efficiency, operational excellence, and platform modernization initiatives.
• Ability to work effectively with highly technical Engineering and Architecture teams.
• Strong analytical, communication, and stakeholder management skills.
• Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field.

Preferred Qualifications

• Experience with AI observability, evaluation frameworks, and governance controls.
• Experience with vector databases, retrieval systems, and enterprise knowledge architectures.
• Experience supporting highly scaled cloud applications and services.
• Familiarity with OpenText Content Services, Content Aviator, Content Management, Core Content, or Documentum.
• Experience working with enterprise technology partners such as Microsoft, SAP, Google, or AWS.

Enterprise AI is transforming how organizations work with information and automate business processes. Success in this role requires strong technical judgment, customer focus, collaboration, and a passion for innovation. You will help build the platform foundations that enable AI solutions to scale securely, efficiently, and successfully across our enterprise customer base.

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.

OpenText's commitment to diversity and inclusion surpasses legal requirements, evident in our Equal Employment Opportunity Statement of Policy which promotes a respectful and empowering environment for employees of all backgrounds, 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 at Ask HR. Our proactive approach fosters collaboration, innovation, and personal growth, enriching OpenText's vibrant workplace.

Compensation: At OpenText, we offer a thoughtfully designed benefits package that supports your physical, emotional, and financial wellbeing. As you move through the hiring process, we’re happy to provide more details about our compensation programs, including variable and commission compensation opportunities for eligible roles, vacation entitlement, and paid time off.

Salary Range: $118,000.00 - $168,000.00; Depending on the candidate’s education, experience, skills, geographical location, and alignment with internal equity and external market, actual salary may vary and be higher or lower than the range posted.

AI Usage Disclosure: As part of our commitment to transparency, we use artificial intelligence (AI) tools to assist in various stages of our recruitment process, including resume screening, candidate matching, interview scheduling, and communications. These tools are designed to improve efficiency, reduce bias, and enhance candidate experience. All decisions regarding hiring are made by qualified human professionals, and we continuously monitor our AI systems to ensure fairness and compliance with applicable regulations.