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Added 14 mins ago
Manager, Transformation, BC Health Workday
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Temporary
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Nokia

Cloud AI Infrastructure Product Manager

600 March Road, Ottawa, ON, K2K 2E6, Canada

Job type: Full-time
Experience: 5+ years of experience in product management, with a focus on cloud infrastructure, IaaS, or PaaS.
Posting language: English
Posted: Sep 24, 2026

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Applications open in a new tab.

Original job description

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.

Advancing connectivity to secure a brighter world.

Nokia is a global leader in connectivity for the AI era. With expertise across fixed, mobile and transport networks, powered by the innovation of Nokia Bell Labs, we’re advancing connectivity to secure a brighter world.

Learn more about life at Nokia.

Our recruitment process

We act inclusively and respect the uniqueness of people. Our employment decisions are made regardless of race, color, national or ethnic origin, religion, gender, sexual orientation, gender identity or expression, age, marital status, disability, protected veteran status or other characteristics protected by law. We are committed to a culture of inclusion built upon our core value of respect.

If you’re interested in this role but don’t meet every listed requirement, we still encourage you to apply. Unique backgrounds, perspectives, and experiences enrich our teams, and you may be just the right candidate for this or another opportunity.

The length of the recruitment process may vary depending on the specific role's requirements. We strive to ensure a smooth and inclusive experience for all candidates. Discover more about the recruitment process at Nokia.

Some of our benefits in Canada:

Corporate Retirement Savings Plan
Health and dental benefits
Short-term disability, and long-term disability
Life insurance, and AD&D – Company paid 2x base pay
Optional or Supplemental life and AD&D insurance (Employee/Spouse/Child)
Paid time off for holidays and Vacation
Employee Stock Purchase Plan
Tuition Assistance Plan
Adoption assistance
Employee Assistance Program/Work Life Resource Program

The above benefits exclude students.

Disclaimer for US/Canada

Nokia Maintains broad annual base salary ranges for its roles in order to account for variations in knowledge, skills, experience and market conditions, and with consideration to internal peer equity. Check the salary ranges in the job info section for this role.

All North America job posts will post for a minimum of 7 calendar days and up to 180 days or until candidate/s identified.

Apply About employer

More about this job

Responsibilities

Define and execute the product vision, strategy, and roadmap for AI cloud infrastructure services. Collaborate with cross-functional teams to manage the full product lifecycle and drive adoption of AI/ML infrastructure solutions.

Requirements

Requires a bachelor's degree in a relevant field and at least 5 years of experience in product management with a focus on cloud infrastructure. Candidates must possess strong technical knowledge of cloud computing, AI/ML requirements, and excellent strategic communication skills.

Skills

Product management
Cloud infrastructure
IaaS
PaaS
AI/ML infrastructure
Product lifecycle management
Strategic thinking
Market research
Competitive analysis
Business case development
Go-to-market strategy
Hardware accelerators
Agile methodologies
B2B enterprise technology
Communication skills
Analytical skills

Benefits

Health and dental benefits
Short-term disability
Long-term disability
Life insurance
AD&D insurance
Paid time off
Employee Stock Purchase Plan
Tuition Assistance Plan
Adoption assistance
Employee Assistance Program

Visa sponsorship

Not detected in the job text

Keywords

Cloud AI
Infrastructure
Product Manager
Nokia
CNFs
AN Applications
AI/ML
IaaS
PaaS
Hardware accelerators
Agile
B2B
Product lifecycle
Go-to-market
Cloud computing
Scalability
Cost-efficiency
Model training
Inference
Datacenter

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