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Information Technology 🏢 Full Time ⭐️ Verified

2026 Futurist Strategist

FutureVision Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Join FutureVision Labs at the forefront of tomorrow's innovation. We're seeking a visionary 2026 Futurist Strategist to decode emerging trends and architect transformative solutions that will redefine industries by 2026. This hybrid role blends cutting-edge research with actionable strategy, requiring a blend of analytical rigor and creative foresight.

Why FutureVision Labs? We're a Silicon Valley leader in predictive analytics and innovation incubation, with a portfolio of 50+ patents and partnerships with NASA and Stanford. Our team thrives on curiosity and disruption, offering unparalleled opportunities to shape the future.

Responsibilities

  • Forecast and map technology trends, societal shifts, and market disruptions through 2026
  • Develop strategic roadmaps for clients in AI, biotech, and sustainable energy sectors
  • Lead cross-functional workshops to translate foresight into actionable innovation pipelines
  • Author thought leadership reports published in Wired, MIT Tech Review, and industry whitepapers
  • Collaborate with R&D teams to prototype solutions for 2026's grand challenges
  • Present strategic insights to C-suite executives and government innovation councils

Qualifications

  • Master's or PhD in Futures Studies, Systems Thinking, or relevant quantitative field
  • 5+ years in strategic foresight, innovation consulting, or tech trend analysis
  • Proven track record of predicting market shifts (showcase required)
  • Expertise in scenario planning, Delphi methodology, and horizon scanning
  • Deep understanding of exponential technologies (quantum computing, synthetic biology)
  • Exceptional data storytelling and executive presentation skills
  • Published work in futurist journals or major tech publications

Required Skills

Foresight Strategy Trend Forecasting Systems Thinking Innovation Management Data Visualization Scenario Planning AI Ethics Exponential Technologies

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