Blue Planet AI Product Manager

Ciena
2 LocationsPosted 10 April 2026

Job Description

As the global leader in high-speed connectivity, Ciena is committed to a people-first approach. Our teams enjoy a culture focused on prioritizing a flexible work environment that empowers individual growth, well-being, and belonging. We’re a technology company that leads with our humanity—driving our business priorities alongside meaningful social, community, and societal impact. At Blue Planet, a division of Ciena, we are redefining how service providers design, operate, and evolve their networks through intelligent automation and artificial intelligence. This role sits at the intersection of customer transformation, advanced AI platforms, and product execution—shaping how Agentic AI is brought to life across real-world operational environments. As Blue Planet AI Product Manager, the focus is on turning strategic vision and customer insight into scalable, high-impact AI capabilities that drive measurable business outcomes. How you will make an impact: Serve as a trusted advisor to service provider customers, guiding artificial intelligence adoption, operational transformation, and return on investment using Agentic AI workflows Translate customer advisory insights into validated, high-value AI use cases with clear functional and technical requirements Own and prioritize the AI Studio product backlog, driving timely delivery of Agentic AI capabilities and pipeline orchestration features Convert product strategy and customer needs into detailed user stories and requirements for Engineering and Data Science teams Lead cross-functional release execution from concept through launch, ensuring quality, scalability, and customer readiness Enable global sales, account, and sales engineering teams through training, playbooks, and technical value positioning Champion AI Studio in complex customer engagements, including high-visibility proofs of concept The must haves: 7 years of product management experience delivering enterprise software in Agile environments Proven experience managing and prioritizing product backlogs through multiple release cycles Deep telecommunications industry knowledge, including Operations Support Systems (OSS) – Inventory/Orchestration/Assurance Prior experience in a technology/business consulting role with strong executive presence and client-facing skills Proven experience/Practical understanding of the artificial intelligence lifecycle, including machine learning operations (MLOps), large language models (LLMs), and Agentic AI workflows Ability to communicate complex technical concepts clearly to both technical and non-technical stakeholders Demonstrated strength driving execution across matrixed, global teams Nice to haves: Experience working directly with service providers on network automation or autonomous network initiatives Experience in business process modeling and reengineering Familiarity with artificial intelligence platform commercialization and go-to-market enablement Exposure to partner ecosystems, system integrators, or joint solution development Experience supporting customer proofs of concept in complex, enterprise environments #LI-BS1 Pay Range: The annual pay range for this position is C$95,800.00– C$153,000. Pay ranges at Ciena are designed to accommodate variations in knowledge, skills, experience, market conditions, and locations, reflecting our diverse products, industries, and lines of business. Please note that the pay range information provided in this posting pertains specifically to the primary location, which is the top location listed in case multiple locations are available. Non-Sales employees may be eligible for a discretionary incentive bonus, while Sales employees may be eligible for a sales commission. In addition to competitive compensation, Ciena offers a comprehensive benefits package, including medical, dental, and vision plans, participation in 401(K) (USA) & DCPP (Canada) with company matching, Employee Stock Purchase Program (ESPP), Empl ... (truncated, view full listing at source)
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