Cloud AI Infrastructure Product Manager
Nokia · Ottawa
Publié le 24 septembre 2026
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Description du poste
About the role
We are seeking a visionary Cloud AI Infrastructure Product Manager to define and execute our cloud infrastructure product vision. This role is pivotal in ensuring our products meet evolving AI market demands and support Nokia CNFs/AN Applications. The successful candidate will collaborate closely with cross-functional teams, influencing product strategy and driving continuous improvement.
Responsibilities
- Define product vision, strategy, and roadmap for AI cloud infrastructure services, aligning with business objectives.
- Conduct market research, competitive analysis, and customer needs assessments to inform product decisions.
- Develop business cases, pricing strategies, and go-to-market plans for cloud infrastructure products.
- Manage the entire product lifecycle, from ideation to end-of-life, for cloud infrastructure components and services.
- Translate business requirements into detailed product specifications for engineering teams.
- Collaborate with engineering, operations, sales, and marketing teams for successful product delivery and adoption.
- Monitor product performance, gather customer feedback, and iterate on Nokia CNFs and AN products.
- Drive strategy and development of infrastructure products tailored for AI/ML workloads, including specialized hardware.
- Evaluate emerging technologies and trends in AI/ML infrastructure to maintain a competitive edge.
- Ensure optimal performance, scalability, and cost-efficiency of our cloud infrastructure for AI model training and inference.
Qualifications
- Bachelor's degree in Computer Science, Engineering, Business, or related field.
- 5+ years of experience in product management, with a focus on cloud infrastructure, IaaS, or PaaS.
- Proven experience managing the full product lifecycle of complex technical products.
- Strong understanding of cloud computing concepts, architectures, and technologies.
- Demonstrated experience or understanding of AI/ML infrastructure requirements, including hardware accelerators.
- Excellent strategic thinking, analytical, and problem-solving skills.
- Exceptional communication, presentation, and interpersonal skills.
- Experience with public cloud platforms and/or private cloud solutions is preferred.
- Familiarity with agile development methodologies is an asset.
- Experience in a B2B enterprise technology environment is desirable.
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