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Strategic Management 🏢 Full Time ⭐️ Verified

2026 Futurist Strategist

Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Join Horizon Labs as we redefine tomorrow's business landscape. We're seeking a visionary 2026 Futurist Strategist to decode emerging trends and architect next-generation growth paradigms. This role sits at the intersection of technology, behavioral economics, and sustainable innovation – perfect for a forward-thinking leader ready to shape the decade ahead.

Why You'll Thrive Here: Collaborate with Nobel laureates, pioneer AI-driven forecasting models, and influence Fortune 500 transitions. Our incubator environment offers unparalleled resources to transform futuristic concepts into market-ready realities.

Responsibilities

  • Lead horizon scanning initiatives to identify disruptive technologies and societal shifts impacting 2026-2030 markets
  • Develop scenario-planning frameworks for C-suite executives navigating exponential change
  • Architect sustainable business models leveraging quantum computing and neuro-interfaces
  • Produce predictive analytics reports using proprietary AI trend-synthesis platforms
  • Facilitate cross-industry innovation sprints with NASA, MIT, and UN partners
  • Mentor junior futurists in ethical foresight methodologies
  • Present findings at Davos and global policy summits

Qualifications

  • PhD or equivalent in Futures Studies, Systems Theory, or Computational Social Science
  • 10+ years experience in strategic foresight with Fortune 100 impact
  • Published research on singularity economics or climate adaptation futures
  • Proficiency in Python, R, and causal inference modeling
  • Portfolio demonstrating 3+ successful future-proofed business transformations
  • Deep understanding of Web3, bio-convergence, and climate tech convergence points
  • Security clearance preferred for government partnership initiatives

Required Skills

Strategic Foresight Scenario Planning Predictive Analytics Quantum Computing Neuro-Interfaces Causal Inference Ethical AI Systems Thinking Cross-Industry Innovation Policy Advisory

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