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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in product management for AI cloud infrastructure services, with a strong focus on the full product lifecycle, market analysis, and collaboration across engineering and business teams. Proficient in translating business requirements into technical specifications while ensuring optimal performance and cost-efficiency for AI/ML workloads.
Highest-signal resume keywords
Product ManagementCloud InfrastructureAI/ML InfrastructureMarket ResearchAgile Development
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Product Lifecycle ManagementCloud Computing ConceptsAI/ML Workload OptimizationTechnical Product SpecificationsPricing StrategiesGo-To-Market PlansCompetitive AnalysisCustomer Needs AssessmentPerformance MonitoringScalability and Cost-Efficiency
Soft Skills
Strategic ThinkingAnalytical SkillsProblem-Solving SkillsCommunication SkillsInterpersonal Skills
Tools & Technologies
Public Cloud PlatformsPrivate Cloud SolutionsHardware Accelerators
Industry Keywords
IaaSPaaSB2B Enterprise TechnologyAgile Development Methodologies
Tech Stack
Tools & technologiesCloud
About the role
Key responsibilities & impact- Define product vision, strategy, and roadmap for AI cloud infrastructure services aligned with business objectives
- Conduct market research, competitive analysis, and customer needs assessments
- Develop business cases, pricing strategies, and go-to-market plans
- Manage the full product lifecycle from ideation to end-of-life
- Translate business requirements into detailed product specifications for engineering teams
- Collaborate with engineering, operations, sales, and marketing teams on product delivery and adoption
- Monitor product performance, gather customer feedback, and iterate on Nokia CNFs and AN products
- Drive infrastructure product strategy and development for AI/ML workloads, including specialized hardware
- Evaluate emerging AI/ML infrastructure technologies and trends
- Ensure optimal performance, scalability, and cost-efficiency for AI model training and inference
Requirements
What you’ll need- Bachelor's degree in Computer Science, Engineering, Business, or related field
- 5+ years of experience in product management, focused 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
Benefits
Comp & perks- Corporate Retirement Savings Plan
- Health and dental benefits
- Short-term disability and long-term disability
- Company-paid life insurance and AD&D insurance at 2x base pay
- Optional or supplemental life and AD&D insurance for employee, spouse, and child
- Paid time off for holidays and vacation
- Employee Stock Purchase Plan
- Tuition Assistance Plan
- Adoption assistance
- Employee Assistance Program/Work Life Resource Program
- Potential incentive/variable compensation for eligible roles