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Strategy 🏢 Full Time ⭐️ Verified

2026 Futurist Strategist

Innovate Tomorrow Inc.
San Francisco
Estimated Salary
USD 140.000 – USD 190.000
Live Update
20 Mei 2026
Deadline
20 Mei 2027

Job Description

Join Innovate Tomorrow Inc. at the forefront of tomorrow's revolution today. We're seeking a visionary 2026 Futurist Strategist to decode emerging trends and architect our next decade of exponential growth. This pivotal role combines deep technological foresight with human-centered innovation to shape products that redefine industries.

As a cornerstone of our executive leadership team, you'll translate cutting-edge research into actionable blueprints, ensuring our ecosystem thrives in an accelerating future. Collaborate with Nobel laureates, disruptors, and global policymakers to pioneer solutions that impact billions.

Responsibilities

  • Anticipate and analyze paradigm-shifting trends across AI, quantum computing, and biotechnology (2026-2035 horizon)
  • Develop scenario-planning frameworks for exponential market disruptions
  • Lead cross-functional 'Future Labs' to prototype next-generation products
  • Advise C-suite on strategic pivots and innovation portfolio allocation
  • Author thought leadership published in MIT Tech Review and World Economic Forum
  • Forge partnerships with academic institutions and government innovation labs

Qualifications

  • Advanced degree in Futures Studies, Systems Thinking, or equivalent field
  • Minimum 8 years in strategic foresight at Fortune 500 or hypergrowth startups
  • Proven track record of predicting market shifts with 85%+ accuracy
  • Expertise in scenario planning tools (e.g., STEEP-V, causal layered analysis)
  • Published research on emerging tech adoption curves
  • Deep network with futurist communities (e.g., Association of Professional Futurists)
  • Certification in foresight methodologies (e.g., CFM) preferred

Required Skills

Strategic Foresight Scenario Planning Systems Thinking Trend Analysis Innovation Strategy Future Studies Causal Layered Analysis Disruption Modeling

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