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Information Technology 🏢 Full Time ⭐️ Verified

2026 Futurist Strategist

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

Job Description

Join Horizon Dynamics Inc. at the forefront of tomorrow's transformation. We seek a visionary 2026 Futurist Strategist to decode emerging technological paradigms and architect next-generation solutions. Shape the future in our cutting-edge innovation lab where we're redefining human-machine collaboration, sustainable infrastructure, and interstellar commerce.

As a pivotal member of our forward-thinking team, you'll collaborate with quantum computing pioneers, neural interface architects, and climate simulation experts. This role demands a blend of deep technical acumen and visionary thinking to navigate the complex landscape of 2026 and beyond.

Responsibilities

  • Analyze emerging 2026 tech trends (quantum computing, neural interfaces, climate tech) for strategic implementation
  • Develop scenario-based roadmaps for autonomous systems integration in urban environments
  • Lead cross-functional workshops to align technical teams on futuristic vision
  • Author white papers on ethical AI governance in post-human augmentation eras
  • Partner with R&D to prototype next-gen human-AI collaboration frameworks
  • Advocate for sustainable tech solutions in exponential growth ecosystems

Qualifications

  • 5+ years in strategic foresight or emerging technology consulting
  • Expertise in exponential technology forecasting (AI, biotech, quantum)
  • Proven track record in developing future-ready organizational strategies
  • Strong background in systems thinking and complex adaptive systems
  • Certification in strategic foresight or futurism (e.g., AC/FS preferred)
  • Experience with scenario planning tools and trend analysis methodologies
  • Demonstrated ability to translate visionary concepts into executable roadmaps

Required Skills

Foresight Strategy Emerging Technology Analysis Quantum Computing Neural Interfaces Scenario Planning Systems Thinking Sustainable Innovation Ethical AI Governance

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