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Product Owner - AI

External
Microstrategy1 logoMicrostrategy1 · Pune, India
Full-timeOn-site1d ago
AWSAzureDockerFastAPIGCPLLMs
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Responsibilities

  • Own the product vision, roadmap, and backlog for AI-driven solutions.
  • Translate business requirements into clear technical specifications.
  • Oversee development of AI applications using Python and REST APIs (FastAPI).
  • Guide implementation of LLM solutions (OpenAI, Azure OpenAI), including vector databases, embeddings, and RAG architectures.
  • Partner with DevOps to deploy scalable AI applications on AWS, Azure, or GCP using Docker.
  • Monitor product performance, define success metrics, and drive continuous optimization.
  • Collaborate with cross-functional stakeholders to ensure alignment and adoption.

Requirements

  • Bachelor's/Master's degree in Computer Science or related field.
  • 5+ years of experience in AI/ML product ownership or technical product management.
  • Strong understanding of Python-based AI applications, REST APIs, LLM integration, vector databases, and cloud deployment.
  • Experience working with OpenAI/Azure OpenAI and modern AI architectures.
  • Proven ability to lead and coordinate small technical teams.
  • Strong analytical, problem-solving, and stakeholder management skills.
  • Familiarity with BI tools such as MicroStrategy is a plus
  • Additional Information
  • The recruitment process includes online assessments as a first step (English, logic, design) - we send them via e-mail, please check also your SPAM folder.
  • This position requires applicant to work full time from Strategy Pune office

Benefits

Vision insurance

Additional Information

We are seeking an experienced and strategic AI Product Owner to lead the development and delivery of AI-powered solutions. This role will own the product vision, roadmap, and execution for AI/LLM-based applications, working closely with engineering, data, and business stakeholders. The ideal candidate combines strong technical understanding of AI technologies (LLMs, APIs, cloud infrastructure) with product management expertise, stakeholder alignment capabilities, and the ability to translate business needs into scalable AI solutions.


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