AI Product Manager

New
IndiaFull-TimeManager
Salary not disclosed
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Job Details

Languages
English
Experience
7+ years
Required Skills
AWSCloud ComputingGCPProduct ManagementAzure

Requirements

  • 7+ years of product management experience.
  • At least 3 years managing highly technical AI infrastructure or cloud platform products.
  • Strong expertise in AI/ML systems, including training, fine-tuning, inference optimization, and GPU-based infrastructure.
  • Hands-on understanding of cloud computing platforms such as AWS, Azure, or Google Cloud Platform.
  • Familiarity with AI-focused solutions such as SageMaker, Databricks, TogetherAI, ScaleAI, or equivalent.
  • Solid understanding of machine learning architectures and large-scale infrastructure environments.
  • Proven experience launching and scaling technology products in high-growth organizations.
  • Strong technical communication skills for both technical and non-technical stakeholders.
  • Demonstrated leadership, strategic thinking, and cross-functional collaboration.
  • Experience working closely with enterprise customers and understanding B2B product dynamics.
  • Degree in Engineering, Physical Sciences, Computer Science, or related technical field.
  • Excellent English communication skills, both written and verbal.

Responsibilities

  • Define and drive the long-term product vision, strategy, and roadmap for AI-powered cloud platform services.
  • Lead the end-to-end product lifecycle, from market research and prioritization to launch execution.
  • Collaborate with engineering, operations, and cross-functional stakeholders to deliver scalable AI/ML infrastructure.
  • Build and maintain strong alignment between technical capabilities, customer needs, and business objectives.
  • Engage with developers, enterprise customers, and data scientists to identify opportunities.
  • Develop go-to-market strategies, positioning, and product messaging.
  • Define, track, and analyze key product performance metrics and operational KPIs.
  • Support the expansion of decentralized and privacy-focused technology ecosystems.
  • Manage relationships with executive leadership and strategic partners.
  • Drive product-led growth initiatives and identify risks and dependencies.
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