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2026 Lead Futurist

Innovate Tomorrow Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Join Innovate Tomorrow Labs at the forefront of shaping tomorrow's reality. As our 2026 Lead Futurist, you'll architect breakthrough strategies for emerging technologies that will define the next decade. We're seeking a visionary who thrives at the intersection of AI, quantum computing, and human augmentation to lead our next-generation innovation ecosystem.

This role demands strategic foresight and hands-on prototyping capabilities. You'll collaborate with Nobel laureates, government think tanks, and Fortune 100 partners to commercialize paradigm-shifting technologies. Our lab operates at the bleeding edge of bio-digital integration, neural interfaces, and sustainable urban systems.

Responsibilities

  • Develop and implement 10-year technology roadmaps for quantum-AI convergence
  • Lead cross-functional teams in prototyping next-gen human-machine interfaces
  • Secure $5M+ in R&D funding through federal and private sector partnerships
  • Present disruptive innovations at global forums like Davos and TechCrunch Disrupt
  • Drive commercialization of neural augmentation technologies for healthcare and defense
  • Establish ethical frameworks for autonomous systems and synthetic biology
  • Mentor PhD candidates in emerging technology policy and deployment

Qualifications

  • PhD in Computational Physics, AI Ethics, or Futuristics with 10+ years industry experience
  • Published research in Science or Nature on quantum machine learning
  • Proven track record of scaling R&D from concept to $100M+ valuation
  • Expertise in ISO 26000 and IEEE Ethically Aligned Design frameworks
  • Security clearance for DoD/NSF collaboration projects
  • Proficiency in Python, TensorFlow, and quantum circuit simulation
  • Portfolio demonstrating 3+ commercialized breakthrough technologies

Required Skills

strategic foresight quantum computing AI ethics neural interfaces technology commercialization policy development R&D management computational modeling

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