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Information Technology 🏢 Full Time ⭐️ Verified

2026 Technology Futurist

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

Job Description

Join Horizon Dynamics as a 2026 Technology Futurist to architect tomorrow's digital landscape today. We're seeking visionary innovators to lead the convergence of quantum computing, AI ethics, and sustainable tech ecosystems. Shape disruptive solutions that redefine industries while operating from our cutting-edge San Francisco hub.

As a pivotal member of our Future Technologies Division, you'll collaborate with Nobel laureates and industry pioneers to develop roadmaps for 2026's technological inflection points. This role offers unparalleled opportunities to influence global tech policy while mentoring the next generation of breakthrough thinkers.

Responsibilities

  • Lead cross-functional teams in developing 2026 technology adoption roadmaps for Fortune 500 clients
  • Architect quantum-resistant security frameworks for next-gen digital infrastructure
  • Present future technology scenarios at global forums including Davos and TechCrunch Disrupt
  • Drive R&D initiatives in neuromorphic computing and decentralized AI systems
  • Mentor junior futurists through Horizon's Innovation Accelerator program
  • Publish quarterly white papers on emerging tech societal impact

Qualifications

  • PhD in Computer Science, Quantum Physics, or Futurist Studies (or equivalent experience)
  • Proven track record in scaling exponential technologies (quantum, AGI, biotech)
  • Expertise in ethical AI governance frameworks (EU AI Act, NIST standards)
  • Published thought leadership in top-tier tech journals (Nature, IEEE Spectrum)
  • Fluency in at least two programming languages (Python, Rust preferred)
  • Experience with scenario planning methodologies (Shell Foresight, Delphi method)
  • Global network of technology innovators and policymakers

Required Skills

Quantum Computing AI Ethics Futurist Strategy Scenario Planning Exponential Tech Neuromorphic Systems Tech Policy R&D Leadership

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