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2026 Tech Futurist - Lead Emerging Technologies Research

InnovateNext Labs
San Francisco
Estimated Salary
USD 175.000 – USD 250.000
Live Update
18 Mei 2026
Deadline
18 Mei 2027

Job Description

Join InnovateNext Labs as our pioneering 2026 Tech Futurist and shape tomorrow's digital landscape today. We're seeking a visionary leader to decode emerging technologies, forecast industry disruptions, and architect our next-generation innovation roadmap. This is your chance to influence how AI, quantum computing, and biotechnology will redefine human experience by 2026.

As the nexus between cutting-edge research and commercial application, you'll collaborate with Nobel laureates, startup founders, and Fortune 500 strategists. Our San Francisco hub offers unparalleled access to Silicon Valley's ecosystem while fostering deep-dive R&D in autonomous systems, synthetic biology, and spatial computing.

Responsibilities

  • Lead horizon scanning for breakthrough technologies with 2026 market impact potential
  • Develop predictive models for tech adoption curves and regulatory frameworks
  • Design strategic roadmaps for AI ethics, quantum-safe cryptography, and neurotech integration
  • Partner with product teams to incubate moonshot projects in climate tech and personalized medicine
  • Author definitive industry forecasts published in MIT Technology Review and Wired
  • Champion responsible innovation frameworks for AGI development and digital sovereignty
  • Build global consortiums with academic institutions (MIT, Stanford, ETH Zurich) and policy bodies

Qualifications

  • PhD in Computer Science, Systems Engineering, or Futurology with 8+ years in tech strategy
  • Published white papers on exponential technologies (AI/ML, quantum, biotech) cited by Gartner
  • Experience leading cross-functional R&D teams with $10M+ innovation budgets
  • Expertise in technology forecasting frameworks (e.g., Delphi method, scenario planning)
  • Deep network within IEEE, World Economic Forum, and Singularity University communities
  • Proven ability to translate complex technical concepts into executive narratives
  • Portfolio of commercialized technologies with >1M user impact

Required Skills

AI Ethics Quantum Computing Biotechnology Strategic Foresight Innovation Management Systems Thinking Tech Policy Machine Learning Cybersecurity Data Science

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