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Senior AI (LLM) Product Owner - Octopus

Posted 2024-09-20

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💎 Seniority level: Senior, 3-5 years

📍 Location: Egypt

🔍 Industry: Technology, AI, Language Services

🏢 Company: robusta

🗣️ Languages: English

⏳ Experience: 3-5 years

🪄 Skills: LeadershipProject ManagementSQLAgileMachine LearningProduct DevelopmentData scienceCommunication SkillsAgile methodologies

Requirements:
  • Bachelor's degree in a related field like business, technology, or computer science.
  • 3-5 years of hands-on experience in machine learning or AI development.
  • Strong understanding of AI research principles and methodologies.
  • Proficiency in AI analysis tools and languages, mandatory SQL expertise.
  • Preferred background in translation or language services industry.
  • Demonstrated leadership skills in managing cross-functional teams.
  • Excellent interpersonal, analytical, and problem-solving skills.
  • Proficiency in Agile product development methodologies.
  • Ability to thrive in a dynamic environment with a flexible approach.
  • Deep understanding of customer behavior and market trends in AI.
  • Excellent written and verbal communication skills.
  • Proficiency in Microsoft Office and relevant software applications.
  • Hands-on experience in large language models (LLM).
Responsibilities:
  • Gather, analyze, and prioritize customer and market requirements specific to AI solutions.
  • Collaborate with cross-functional teams including AI research, engineering, data science, and marketing.
  • Define and manage the AI product backlog.
  • Ensure all AI products meet customer and market needs utilizing state-of-the-art AI technologies.
  • Serve as the primary contact for AI product inquiries and oversee development.
  • Conduct market research and competitor analysis to identify trends and opportunities.
  • Analyze and report on AI product performance leveraging advanced analytics.
  • Manage stakeholder expectations and provide updates on development progress.
  • Track AI-specific KPIs and optimize product performance.
  • Conduct user surveys and feedback sessions for product enhancements.
  • Oversee the entire AI product life cycle ensuring compliance with ethics.
  • Articulate and communicate the team's AI vision and roadmap.
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