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Information Technology 🏢 Full Time ⭐️ Verified

Lead Futurist Strategist

2026 Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
19 Mei 2026
Deadline
19 Mei 2027

Job Description

Join 2026 Labs at the forefront of tomorrow's innovations as we redefine human potential through cutting-edge technology and visionary strategy. We're seeking a Lead Futurist Strategist to architect our roadmap for 2026 and beyond, shaping how humanity interacts with emerging paradigms in AI, biotech, and sustainable systems. This role combines deep technical acumen with transformative leadership in a dynamic, mission-driven environment where your insights will directly impact global innovation trajectories.

Responsibilities

  • Develop and execute strategic foresight frameworks for 2026+ technological convergence points
  • Lead cross-disciplinary teams in prototyping next-gen human-machine interfaces
  • Conduct horizon scanning and trend analysis across quantum computing, synthetic biology, and climate tech
  • Architect ethical governance models for autonomous systems and neural interfaces
  • Present visionary roadmaps to C-suite executives and venture capital partners
  • Drive innovation sprints with Fortune 500 clients on future-of-work scenarios
  • Author white papers on existential risk mitigation and human augmentation ethics

Qualifications

  • 15+ years in strategic foresight, innovation consulting, or R&D leadership
  • PhD or equivalent in Futures Studies, Systems Engineering, or Computational Social Science
  • Proven track record of launching technologies with global impact (e.g., AI, blockchain)
  • Expertise in scenario planning and probabilistic modeling for complex systems
  • Deep understanding of emerging tech regulatory landscapes (FDA, FCC, UN AI frameworks)
  • Published author in peer-reviewed journals on human-machine evolution
  • Fluency in Python/R for data-driven trend analysis and simulation modeling

Required Skills

Strategic Foresight Systems Thinking Quantum Computing Neural Interfaces Biotechnology Ethical AI Scenario Planning Computational Modeling

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