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2026 Futurist Strategist

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

Job Description

Shape tomorrow today as Innovate Horizon Labs seeks a visionary 2026 Futurist Strategist to decode emerging paradigms and architect transformative pathways. Join our elite team at the intersection of quantum computing, biotech convergence, and decentralized ecosystems to define the next decade of human progress.

This pivotal role demands radical foresight, interdisciplinary synthesis, and the ability to translate abstract futures into actionable blueprints for global enterprises. You'll collaborate with Nobel laureates, disruptor founders, and government futurists to pioneer frameworks that will redefine industries.

Responsibilities

  • Analyze quantum AI, neurotech, and climate convergence trends to forecast 2026-2030 disruption vectors
  • Develop scenario-planning models for Fortune 500 clients navigating exponential change
  • Lead cross-functional workshops synthesizing nanotechnology and Web3 implications
  • Produce strategic whitepapers on post-scarcity economics and digital consciousness
  • Advocate for ethical AI governance frameworks at Davos-style global forums
  • Mentor next-generation futurists through our Quantum Leap Fellowship program

Qualifications

  • PhD in Futures Studies, Systems Theory, or equivalent interdisciplinary expertise
  • 10+ years in strategic foresight with Fortune 500 or UN-level institutions
  • Published work on exponential technologies in Nature/Science/Future Journal
  • Fluency in probabilistic forecasting and causal inference methodologies
  • Deep familiarity with quantum computing architectures and neurosymbolic AI
  • Portfolio demonstrating 3+ future-shaping projects deployed at scale
  • Certification in Strategic Foresight (AC/FFR or equivalent)

Required Skills

Strategic Foresight Quantum Computing Biotech Convergence Scenario Planning Systems Thinking Ethical AI Governance Neurotech Decentralized Systems Probabilistic Forecasting

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