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Information Technology 🏒 Full Time ⭐️ Verified

AI Futurist & Strategic Innovation Lead

QuantumLeap Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Join QuantumLeap Dynamics as we architect the future. We're seeking a visionary AI Futurist to lead strategic innovation at the intersection of artificial intelligence, quantum computing, and human augmentation. This pivotal role will shape our 2026 roadmap, driving breakthroughs that redefine technological boundaries. You'll collaborate with Nobel laureates, incubate moonshot projects, and influence global AI policy while building the next generation of autonomous systems.

Our ideal candidate thrives in ambiguity, embraces exponential thinking, and possesses a deep passion for ethical AI development. You'll lead a cross-functional team of engineers, ethicists, and futurists, translating cutting-edge research into market-ready solutions that impact billions. This isn't just a jobβ€”it's your chance to write the next chapter of human progress.

Responsibilities

  • Architect and execute the 2026 AI innovation roadmap, aligning with quantum computing advancements
  • Lead moonshot projects in generative AI, neural interfaces, and autonomous decision systems
  • Partner with C-suite executives to embed foresight into corporate strategy and product development
  • Establish ethical frameworks for next-gen AI, ensuring alignment with UN sustainable goals
  • Represent QuantumLeap at global tech forums, shaping industry discourse on AI's trajectory
  • Mentor a diverse team of futurists and researchers through exponential growth phases
  • Drive patent portfolio development in AI-adjacent domains (minimum 3 patents/year)

Qualifications

  • PhD in Computer Science, Cognitive Science, or related field with 8+ years AI research experience
  • Proven track record leading AI initiatives at scale (Fortune 500 or unicorn startup)
  • Deep expertise in transformer architectures, reinforcement learning, and quantum ML
  • Published work in Nature/Science or top-tier AI conferences (NeurIPS, ICML)
  • Strong policy background in AI governance (e.g., OECD AI Principles, EU AI Act)
  • Fluency in exponential technology forecasting methodologies (e.g., Delphi method)
  • Exceptional communication skills translating complex concepts to diverse stakeholders

Required Skills

AI Strategy Quantum Computing Neural Interfaces Generative AI Foresight Methodology Ethical AI Reinforcement Learning Policy Development

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