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2026 Technology Futurist

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

Job Description

Join InnovateFuture Labs at the forefront of tomorrow's technological revolution. We're seeking a visionary 2026 Technology Futurist to architect our next-generation innovation roadmap and shape how humanity interacts with emerging technologies. This pivotal role combines strategic foresight with hands-on prototyping to build solutions that will define the next decade.

In this leadership position, you'll collaborate with Nobel laureates, Silicon Valley pioneers, and government agencies to translate theoretical breakthroughs into real-world applications. Our state-of-the-art Quantum Neural Lab offers unparalleled resources for testing bleeding-edge concepts.

Responsibilities

  • Develop 3-5 year technology roadmaps for AI, quantum computing, and biotech convergence
  • Lead cross-functional teams in prototyping next-gen human-machine interfaces
  • Conduct horizon scanning for emerging technologies with global impact potential
  • Present strategic briefings to C-suite executives and government innovation councils
  • Establish ethical frameworks for autonomous systems and neural interfaces
  • Manage $5M+ annual R&D budget for experimental technology incubation
  • Author white papers cited in MIT Technology Review and Scientific American

Qualifications

  • PhD in Computer Science, Robotics, or Emerging Technology with 5+ years industry experience
  • Published research in AI ethics, quantum algorithms, or neurotechnology
  • Proven track record scaling experimental technologies to commercial deployment
  • Deep understanding of regulatory landscapes for autonomous systems and biotech
  • Expertise in scenario planning and technology impact assessment frameworks
  • Experience securing federal innovation grants (DARPA, NSF)
  • Portfolio demonstrating 3+ technologies reaching market maturity

Required Skills

Technology Forecasting Quantum Computing AI Ethics Neural Interfaces Scenario Planning R&D Strategy Emerging Tech Regulation Commercialization

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