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2026 Technology Futurist

Innovate Tomorrow Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
25 Mei 2026
Deadline
25 Mei 2027

Job Description

Join Innovate Tomorrow Labs at the forefront of technological evolution! We're seeking a visionary 2026 Technology Futurist to architect the digital landscape of tomorrow. This role blends cutting-edge AI research with strategic foresight, driving innovation that will redefine industries by 2026. Collaborate with world-class engineers, data scientists, and industry disruptors to build solutions that anticipate market shifts and shape the future of human-machine interaction. We offer unparalleled resources, flexible work arrangements, and a culture that celebrates bold ideas.

Responsibilities

  • Lead strategic technology roadmapping for 2026, identifying emerging trends in quantum computing, neural interfaces, and decentralized systems
  • Develop predictive models for technological adoption impacts across healthcare, logistics, and energy sectors
  • Architect prototype ecosystems simulating 2026 societal integration scenarios for AI and biotechnology
  • Present visionary frameworks to C-suite executives and industry consortiums
  • Manage cross-functional innovation sprints exploring 2026-compatible infrastructure solutions
  • Author white papers on ethical implications of 2026 technological convergence

Qualifications

  • 10+ years in technology strategy, R&D leadership, or futurist consulting
  • PhD or equivalent in Computer Science, Systems Engineering, or Futures Studies
  • Published research in IEEE Nature or similar journals on emerging technologies
  • Proven experience developing 5+ year technology roadmaps for Fortune 500 companies
  • Expertise in scenario planning and horizon scanning methodologies
  • Deep knowledge of quantum computing, AGI safety protocols, and neurotech regulations
  • Certification in Strategic Foresight (e.g., AC/DF) preferred

Required Skills

strategic foresight technology roadmapping quantum computing AI ethics scenario planning neurotechnology systems architecture predictive modeling

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