AI Product Manager

Job Summary:

The Product Manager AI & Compute 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 decisio

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

510 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