Job Summary
The Product Manager AI & Solutions is responsible for owning and managing the AI and compute product portfolio, including pricing, positioning, and competitive analysis. The role focuses on defining a compelling service catalog and value proposition, driving product roadmap planning in collaboration with engineering and vendors, and ensuring offerings align with market demand and business strategy
Accountability & Responsibilities
- Own and manage the AI & Compute Solutions product portfolio end-to-end
- Define and maintain the service catalog, including specifications, features, and use cases
- Develop clear value propositions aligned with customer needs and business goals
- Conduct ongoing market and competitive analysis to guide product decision
- Define and manage pricing models for AI and compute services
- Ensure competitive, scalable, and profitable pricing strategies
- Support Sales and Commercial teams with product positioning and pricing logic
- Develop and maintain the product roadmap aligned with strategic objectives
- Coordinate closely with engineering teams to translate requirements into delivery plans
- Work with vendors and technology partners to align on capabilities and timelines
- Act as the primary product interface with internal stakeholders (Engineering, Sales, Finance, Operations)
- Manage relationships with technology vendors and solution partners
- Ensure alignment between product vision, execution, and go-to-market activities
- Track and analyze product performance using defined KPIs
- Gather customer and stakeholder feedback to enhance offerings
- Drive continuous improvement and innovation across the portfolio
Requirements
1 Required Experience
- 4-7 years of experience in Product Management
- Strong exposure to AI, cloud, compute, or technology-based solutions
- Proven experience in pricing, positioning, and competitive analysis
- Experience working closely with engineering teams and external vendors
- Strong analytical, strategic thinking, and stakeholder management skills
2 Technical Skills
- Strong understanding of AI/ML concepts (model lifecycle, inference, training, workloads)
- Knowledge of cloud computing platforms (AWS, Azure, GCP)
- Experience with compute infrastructure (GPU/CPU, virtualization, containers)
- Familiarity with AI platforms and frameworks (e.g., TensorFlow, PyTorch, OpenAI, NVIDIA AI stack)
- Understanding of cloud pricing models, cost optimization, and consumption-based billing
- Ability to translate technical concepts into business value propositions
- Experience working with APIs, microservices, and scalable architectures (preferred)
3 Certifications
- AWS Certified Solutions Architect / Machine Learning Specialty
- Product Management Certification (Scrum Product Owner, Pragmatic, PMI-ACP)
- AI or Data-related certifications are a strong advantage
