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Senior Futurist - 2026 Initiative

InnovateHorizon Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Join InnovateHorizon Labs at the forefront of technological evolution as we pioneer the 2026 Initiative—a groundbreaking program shaping the next decade of human-machine collaboration. We seek a visionary Senior Futurist to architect our strategic roadmap for emerging technologies including quantum computing, neural interfaces, and sustainable AI. This role demands a blend of technical acumen and foresight to translate future possibilities into actionable blueprints for our Fortune 500 partners. You'll lead cross-functional teams in Austin's thriving innovation ecosystem while influencing global tech policy discussions.

Responsibilities

  • Architect 2026 Initiative's technology foresight framework using scenario planning and trend analysis
  • Lead R&D partnerships with MIT, Stanford, and ETH Zurich for next-gen prototypes
  • Translate complex future-tech concepts into investor-ready whitepapers and roadmaps
  • Chair quarterly Future Council meetings with C-suite executives from aerospace, biotech, and energy sectors
  • Develop ethical governance protocols for autonomous systems and quantum applications
  • Represent InnovateHorizon at Davos, Web Summit, and SX Future conferences
  • Mentor a team of 5 junior futurists and PhD researchers

Qualifications

  • 15+ years in strategic foresight, R&D leadership, or emerging tech consulting
  • Published peer-reviewed research in Nature/Science or equivalent journals
  • Proven track record of scaling technologies from lab to market (e.g., AWS, SpaceX)
  • Expertise in at least two of: quantum computing, synthetic biology, or decentralized systems
  • Deep understanding of regulatory landscapes (FDA, FCC, EU AI Act)
  • Fluency in Mandarin and/or Arabic for global stakeholder engagement
  • PhD in Physics, Computational Biology, or Futurology preferred

Required Skills

strategic foresight quantum computing neural interfaces sustainable AI scenario planning R&D leadership technology ethics stakeholder engagement

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