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Information Technology 🏢 Full Time ⭐️ Verified

AI Product Strategist 2026

Nexus Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Join Nexus Dynamics at the forefront of 2026's technological revolution! We're seeking a visionary AI Product Strategist to architect the next generation of intelligent systems. In this pivotal role, you'll define product roadmaps that leverage cutting-edge AI to solve complex global challenges, collaborating with world-class researchers and engineers. Your strategic insights will directly shape how humanity interacts with autonomous systems, quantum computing interfaces, and neural networks. If you're passionate about building ethical AI that accelerates human progress while mitigating existential risks, this is your moment to make history.

Responsibilities

  • Architect product visions and roadmaps for 2026-era AI systems (AGI, quantum-AI hybrids, neural interfaces)
  • Translate complex technological capabilities into market-defining product features
  • Lead cross-functional teams through agile development of AI-first solutions
  • Conduct scenario planning for ethical AI governance and regulatory compliance
  • Identify emerging AI trends (neuromorphic computing, swarm intelligence) for competitive advantage
  • Define success metrics for AI system performance and human-AI collaboration efficacy

Qualifications

  • 10+ years in product strategy with 5+ years focused on AI/ML systems
  • Deep expertise in transformer architectures, reinforcement learning, and neural-symbolic integration
  • Proven track record launching AI products with >$100M ARR impact
  • Published research in AI ethics, alignment, or safety (NeurIPS, ICML)
  • Familiarity with quantum computing interfaces and neuromorphic hardware
  • Experience with regulatory frameworks (EU AI Act, NIST AI RMF)
  • Advanced degree in Computer Science, Cognitive Science, or related field

Required Skills

AI Strategy Product Roadmapping AGI Research Neural Interfaces Quantum Computing AI Ethics Reinforcement Learning Agile Development

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