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Information Technology 🏢 Full Time ⭐️ Verified

Lead Futurist - 2026 Visionary

FutureTech Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
13 Mei 2026
Deadline
13 Mei 2027

Job Description

Shape tomorrow's reality today at FutureTech Innovations. We're seeking a visionary Lead Futurist to architect our 2026 strategic roadmap and pioneer breakthrough solutions that redefine human-technology interaction. This pivotal role demands radical imagination blended with analytical rigor to anticipate paradigm shifts and transform foresight into actionable innovation.

Responsibilities

  • Architect and execute multi-year strategic foresight frameworks for 2026+ technological evolution
  • Lead cross-functional teams in developing next-gen AI, quantum computing, and biotech integrations
  • Conduct global trend analysis across emerging markets, climate tech, and digital transformation
  • Design speculative scenarios and mitigation strategies for disruptive black swan events
  • Collaborate with C-suite to align corporate strategy with exponential technology trajectories
  • Pioneer ethical frameworks for autonomous systems and human-machine symbiosis
  • Present future-state roadmaps to Fortune 500 partners and investment stakeholders

Qualifications

  • Advanced degree in Futures Studies, Systems Thinking, or Technology Innovation
  • 7+ years in strategic foresight, R&D leadership, or exponential technology consulting
  • Deep expertise in at least two emerging tech domains (quantum, synthetic biology, AGI)
  • Proven track record of translating futurist insights into commercial products
  • Published thought leadership in peer-reviewed journals or industry whitepapers
  • Fluency in scenario modeling tools (e.g., Causal Layered Analysis, Delphi Method)
  • Exceptional storytelling skills for communicating complex futures to diverse audiences

Required Skills

Strategic Foresight Systems Thinking Technology Forecasting AI Ethics Quantum Computing Scenario Planning Innovation Architecture Future-State Modeling

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