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AI-Enabled Product Manager

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💎 Seniority level: Manager, 5-7+ years

📍 Location: United States

🔍 Industry: Software Development

🏢 Company: Future Works

⏳ Experience: 5-7+ years

🪄 Skills: Project ManagementSoftware DevelopmentArtificial IntelligenceData AnalysisFigmaMachine LearningProduct ManagementJiraCross-functional Team LeadershipClient relationship managementData analytics

Requirements:
  • Minimum of 5 years in product management with hands-on experience in production management, especially in delivering custom software solutions that integrate AI.
  • Strong understanding of AI concepts (machine learning, NLP, data analytics) and software development methodologies, with the ability to communicate technical requirements to design and development teams.
  • Demonstrated success in leading cross-functional teams, including design, development, and engineering, to deliver products on schedule.
  • Skilled in building client relationships, translating requirements into actionable production steps, and ensuring alignment with client needs and goals.
  • Excellent analytical skills to assess product performance, interpret data, and make informed decisions that enhance production processes and outcomes.
Responsibilities:
  • Define and execute a product vision centered on AI and custom software, establishing a detailed roadmap that aligns with client goals and Future Works’ standards.
  • Lead the entire product lifecycle, overseeing design, development, and deployment phases to deliver seamless, high-quality custom applications.
  • Manage and synchronize design and development teams, ensuring all phases of production are on track and meet client expectations for functionality, usability, and aesthetics.
  • Work closely with engineering and data science teams to integrate AI capabilities, making strategic choices about where AI can add the most value to custom software and applications.
  • Serve as the primary client contact, communicating progress, gathering feedback, and refining production processes based on client requirements.
  • Establish KPIs and benchmarks, rigorously monitoring design and development progress to ensure high production standards and deliver consistent quality.
  • Foster a culture of iteration, using data and feedback to refine production processes and drive innovation in AI-enhanced custom application development.
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