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2026 Futurist Strategist

Horizon Innovations Inc.
San Francisco
Estimated Salary
USD 150.000 – USD 220.000
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Join our pioneering team at Horizon Innovations Inc. to architect the future of 2026. We're seeking a visionary Futurist Strategist to decode emerging trends, disrupt conventional industries, and lead transformative initiatives that redefine human potential. This role demands radical creativity, data-driven foresight, and the ability to translate speculative scenarios into actionable blueprints. Work alongside Nobel laureates, tech pioneers, and sustainability leaders in our state-of-the-art innovation hub overlooking the Bay.

What We Offer: Equity packages, unlimited learning stipends, flexible hybrid work, and exclusive access to our global futurist network. Your work will directly influence Fortune 500 roadmaps and policy frameworks.

Responsibilities

  • Develop and publish annual 2026 trend reports with quantified impact assessments
  • Lead scenario-planning workshops for C-suite executives on AI, biotech, and climate adaptation
  • Design ethical frameworks for next-gen human augmentation technologies
  • Collaborate with R&D to prototype future-concept products
  • Represent the company at Davos, TED, and UN futurist forums
  • Mentor cross-functional teams in speculative design methodologies
  • Secure patents for breakthrough innovation models

Qualifications

  • PhD in Futures Studies, Systems Theory, or related field (or equivalent experience)
  • 5+ years in strategic foresight at Fortune 100 or top-tier innovation consultancy
  • Published peer-reviewed research on exponential technologies
  • Proficiency in AI trend forecasting tools (e.g., GPT-4, Trendscope)
  • Portfolio of 3+ implemented future-strategy projects with measurable ROI
  • Fluency in at least 2 languages beyond English
  • Deep expertise in quantum computing or synthetic biology

Required Skills

Strategic Foresight Scenario Planning AI Ethics Innovation Strategy Futures Research Systems Thinking Quantum Computing Synthetic Biology

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