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Information Technology 🏢 Full Time ⭐️ Verified

AI Product Manager - 2026 Vision

Nexus Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
19 Mei 2026
Deadline
19 Mei 2027

Job Description

Join Nexus Innovations at the forefront of 2026's technological revolution! We're seeking an visionary AI Product Manager to architect tomorrow's intelligent systems today. As a key architect in our AI division, you'll bridge cutting-edge machine learning with human-centric design to create solutions that redefine industries. Our dynamic startup culture values bold thinkers who thrive at the intersection of ethics and innovation.

Responsibilities

  • Lead end-to-end product lifecycle for AI-driven platforms targeting 2026 market demands
  • Translate complex technical capabilities into intuitive user experiences for enterprise clients
  • Collaborate with cross-functional teams (Data Science, UX, Engineering) to align product roadmap with strategic vision
  • Conduct market research and competitive analysis to identify emerging AI trends and opportunities
  • Develop KPI frameworks and analytics dashboards to measure product impact and user adoption
  • Champion responsible AI principles in product development and deployment strategies
  • Present product vision to executive stakeholders and investors to secure resource allocation

Qualifications

  • 5+ years in product management with proven experience launching AI/ML products
  • Expertise in agile methodologies and product lifecycle management (Jira, Asana)
  • Strong background in machine learning fundamentals and AI ecosystem awareness
  • Exceptional analytical skills with data-driven decision-making capabilities
  • Experience with B2B SaaS platforms and enterprise client engagement
  • Master's degree in Computer Science, Engineering, or related field (PhD preferred)
  • Certification in AI Ethics or Product Management (e.g., CPO, CLEA) highly desirable

Required Skills

AI Product Management Machine Learning Strategic Planning Data Science UX Design Agile Methodologies Market Analysis AI Ethics

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