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2026 Technology Futurist

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

Job Description

Shape the future at Innovate Tomorrow Labs! We're seeking a visionary 2026 Technology Futurist to architect our next-gen digital ecosystem. Join an elite team pioneering quantum computing, neural interfaces, and AI-driven sustainability solutions. This pivotal role combines strategic foresight with hands-on innovation to redefine human-tech interaction by 2026. Enjoy unparalleled autonomy, cutting-edge resources, and the opportunity to leave an indelible mark on technological evolution.

Responsibilities

  • Develop comprehensive 2026 technology roadmaps aligning with market disruption forecasts
  • Lead cross-functional R&D initiatives in quantum machine learning and bio-integrated systems
  • Establish strategic partnerships with academic institutions and industry disruptors
  • Conduct horizon scanning to identify emerging tech paradigms before mainstream adoption
  • Architect ethical frameworks for next-gen autonomous systems and neural interfaces
  • Present technology foresight briefings to C-suite and board stakeholders
  • Mentor innovation teams in rapid prototyping and speculative design methodologies

Qualifications

  • Advanced degree in Computer Science, Engineering, or Futuristics (PhD preferred)
  • 10+ years experience in technology strategy with proven disruption impact
  • Deep expertise in quantum computing, AGI development, or neurotechnology
  • Published thought leadership in peer-reviewed tech journals or major platforms
  • Portfolio demonstrating 3+ successful tech innovation launches
  • Proficiency in futures forecasting tools (e.g., Delphi method, scenario planning)
  • Exceptional communication skills translating complex concepts to diverse audiences
  • Authorization to work in the United States without sponsorship

Required Skills

quantum computing artificial intelligence strategic foresight innovation management neural interfaces ethical AI scenario planning R&D leadership

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