Job Description

Join WGU at a transformational moment as we build a new communications engineering capability that will redefine how students engage with the university. In this high-impact role, you will lead product strategy for communication orchestration across multiple channels, bringing clarity, governance, and innovation to a fragmented ecosystem. You will operate at the intersection of product, architecture, and engineering to shape scalable, user-centered solutions that directly improve the student experience.

This is a greenfield opportunity with enterprise-wide visibility. You will partner across teams to unify communication platforms, reduce noise, and introduce thoughtful, data-driven engagement powered by modern architecture and conversational AI.

What You'll Do

• Define and drive the product vision and roadmap for communication orchestration across channels including SMS, email, push notifications, portal experiences, and voice
• Partner with engineering, architecture, and business stakeholders to design scalable, secure, and reliable communication platforms
• Lead the strategy and evolution of conversational AI capabilities, including chatbot experiences and AI-driven engagement solutions
• Build business cases, define success metrics, and measure the impact of product initiatives to continuously improve outcomes
• Balance competing priorities and make high-stakes trade-offs to align customer needs with business objectives
• Serve as a cross-functional leader who influences without authority and aligns stakeholders across complex systems and dependencies
• Mentor other product managers and contribute to strengthening product practices across the organization

What You'll Bring

• Bachelor's degree
• 8 years of experience as a Software Product Manager or Product Owner in highly technical environments
• Minimum 3 years of experience in communications engineering and/or omnichannel communication platforms
• Strong experience building or managing omnichannel communication solutions across channels such as SMS, email, push, or voice
• Demonstrated experience with conversational AI, including building or owning chatbot or AI-driven messaging products
• Deep understanding of software architecture principles including service-oriented architecture and cloud-based systems
• Proven ability to define success metrics, execute against them, and adjust based on data-driven insights

Bonus Points

• Experience working in SaaS companies that build communication platforms for enterprise customers such as Braze, Airship, Salesforce, or Oracle
• Familiarity with customer identity, consent management, and multi-system data orchestration
• Experience with platforms like NICE Systems or similar conversational AI leaders