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Information Technology 🏢 Full Time ⭐️ Verified

Futurist Technology Strategist

Horizon Innovations Inc.
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Join Horizon Innovations Inc. at the forefront of technological evolution! We seek a visionary Futurist Technology Strategist to architect our 2026 roadmap and beyond. Shape how humanity interacts with emerging technologies like quantum computing, neural interfaces, and autonomous systems. This role demands a blend of deep technical acumen, predictive analytics, and human-centered design to create sustainable innovation frameworks. Collaborate with C-suite executives, lead cross-disciplinary R&D initiatives, and translate complex tech trends into actionable business strategies that redefine industries.

Responsibilities

  • Develop 5-year technology roadmaps for quantum AI and biotech convergence
  • Lead scenario planning for ethical AI governance and decentralized networks
  • Conduct horizon scanning across nanotechnology and climate tech domains
  • Design human-machine interface protocols for 2026+ workforce ecosystems
  • Partner with venture capital teams to identify breakthrough startups
  • Author thought leadership on societal impacts of neuro-adjacent technologies
  • Guide policy development for quantum-resistant security frameworks

Qualifications

  • PhD in Computer Science, Systems Engineering, or Futurology with 10+ years
  • Proven track record in commercializing emerging technologies (3+ exits)
  • Expertise in predictive modeling and technology forecasting methodologies
  • Deep understanding of quantum computing, synthetic biology, and AGI safety
  • Published research in Nature/Science on tech-societal intersection topics
  • Experience advising Fortune 500 boards on digital transformation
  • Certification in Futures Studies (AFS) or equivalent

Required Skills

Quantum Computing Strategic Foresight AI Governance Technology Forecasting Systems Thinking Neural Interfaces Synthetic Biology Scenario Planning

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