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Information Technology 🏢 Full Time ⭐️ Verified

2026 Technology Futurist

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

Job Description

Join Horizon Dynamics at the forefront of tomorrow's digital frontier as we pioneer solutions for 2026 and beyond. We seek a visionary Technology Futurist to architect next-gen frameworks that will redefine industries. This role blends cutting-edge research with strategic implementation, requiring both technical depth and business acumen. You'll collaborate with C-suite executives to translate emerging trends into actionable roadmaps, driving innovation across AI, quantum computing, and decentralized ecosystems.

Responsibilities

  • Develop predictive technology roadmaps for 2026+ digital transformation initiatives
  • Lead cross-functional teams in prototyping quantum-resistant security architectures
  • Conduct horizon scanning of emerging technologies (neuromorphic computing, synthetic biology)
  • Design scalable frameworks for ethical AI governance and autonomous system integration
  • Present strategic briefings to board members and industry consortiums
  • Establish innovation partnerships with academic and research institutions
  • Drive adoption of Web3.0 and metaverse infrastructure solutions

Qualifications

  • 15+ years in technology strategy with 5+ years in emerging tech leadership
  • Expertise in AI/ML, distributed systems, and quantum computing fundamentals
  • Proven track record of implementing future-forward architectures
  • PhD in Computer Science, Engineering, or related field
  • Certified in AI ethics frameworks (e.g., IEEE Ethically Aligned Design)
  • Published research in peer-reviewed journals on technology forecasting
  • Experience with venture capital tech evaluation and startup incubation
  • Strong stakeholder management across global enterprise ecosystems

Required Skills

AI Strategy Quantum Computing Technology Forecasting Blockchain Ethical AI Metaverse Architecture Neuromorphic Computing Distributed Systems

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