Product Owner - AI

VDart, Inc.
New York, NY, United States
23 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Confluence JIRA Microsoft Azure Natural Language Processing Scrum Methodology Software Engineering Large Language Models Generative AI Data Management
+1 more
GPT

Job description

We are looking for an experienced Product Owner with AI experience to define product vision, manage requirements, and work with technical teams to deliver AI-powered solutions., * Define product vision, roadmap, and priorities for AI products.

  • Gather requirements from business stakeholders and customers.
  • Create and manage user stories, acceptance criteria, and product backlog.
  • Work closely with AI/ML engineers, developers, data scientists, and QA teams.
  • Identify opportunities to use Generative AI, LLMs, NLP, RAG, and AI automation.
  • Prioritize features based on business value and customer needs.
  • Coordinate Agile/Scrum ceremonies and support sprint planning.
  • Monitor product performance and collect user feedback.
  • Communicate product status, risks, and priorities to stakeholders., Senior Staff Engineer, AI Compute (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been …
  • 8 hours ago

Requirements

  • Strong Product Owner / Product Management experience.
  • Experience working in Agile/Scrum environments.
  • Understanding of AI/ML and Generative AI concepts.
  • Knowledge of LLMs, ChatGPT/OpenAI, RAG, NLP, or AI agents.
  • Experience with Jira, Confluence, or similar tools.
  • Strong communication, stakeholder management, and analytical skills.
  • Ability to translate business requirements into technical requirements.

Preferred:

  • Experience delivering AI/GenAI products or platforms.
  • Experience with cloud platforms such as AWS, Azure, or GCP.
  • Technical background in APIs, data platforms, or software development.

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