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Information Technology 🏢 Full Time ⭐️ Verified

Futurist Technology Strategist

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

Join Nexus Horizon Labs at the forefront of technological innovation as we shape the future of human-machine interaction. We seek a visionary Futurist Technology Strategist to architect breakthrough solutions for 2026 and beyond. This role bridges cutting-edge research with market-ready applications, requiring an unparalleled blend of technical acumen and forward-thinking creativity.

You'll lead cross-disciplinary teams in developing next-gen AI systems, quantum computing frameworks, and immersive digital experiences. Our culture thrives on intellectual curiosity and bold experimentation, offering unparalleled resources to transform visionary concepts into reality.

Responsibilities

  • Develop long-term technology roadmaps aligning with 2026 industry disruptors
  • Lead R&D initiatives in AI ethics, quantum computing, and neural interfaces
  • Collaborate with Fortune 500 partners to implement futuristic solutions
  • Present strategic insights to C-suite executives and investment committees
  • Author thought leadership papers on emerging tech paradigms
  • Mentor innovation labs focused on human augmentation technologies
  • Secure $5M+ in research funding through grant proposals

Qualifications

  • PhD in Computer Science, Futurology, or related field with 5+ years industry experience
  • Proven track record in scaling AI/quantum projects from concept to production
  • Deep expertise in exponential technologies (nanotech, biotech, AGI)
  • Exceptional strategic planning and stakeholder management capabilities
  • Published research in peer-reviewed futurist or technology journals
  • Experience with federal tech policy and regulatory frameworks
  • Proficiency in predictive modeling and scenario planning tools

Required Skills

Artificial Intelligence Quantum Computing Strategic Planning Futurology Machine Learning Neural Interfaces Exponential Technologies Ethics AI

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