Product Manager - AI Solutions

® 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