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Information Technology 🏢 Full Time ⭐️ Verified

2026 Technology Futurist

Quantum Leap Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Join Quantum Leap Innovations as we pioneer the frontiers of tomorrow. We're seeking a visionary 2026 Technology Futurist to architect the next generation of human-machine integration. This pivotal role demands a blend of strategic foresight, technical acumen, and creative problem-solving to transform emerging technologies into transformative business solutions. You'll collaborate with cross-disciplinary teams to prototype, validate, and deploy innovations that will redefine industries by 2026. Our cutting-edge lab offers unparalleled resources to explore AI ethics, quantum computing applications, and sustainable tech ecosystems.

Responsibilities

  • Lead strategic horizon scanning to identify emerging technologies with 2026 market potential
  • Architect blueprints for AI-human symbiotic systems and quantum-integrated workflows
  • Direct R&D initiatives in sustainable quantum computing and neural interface technologies
  • Develop ethical frameworks for autonomous systems and predictive AI governance
  • Partner with C-suite executives to align innovation roadmaps with long-term business objectives
  • Present futuristic technology roadmaps to investors and industry consortiums

Qualifications

  • PhD in Computer Science, Engineering, or Futures Studies with 5+ years in R&D leadership
  • Proven track record in commercializing emerging technologies (quantum/AI/biotech)
  • Expertise in technology forecasting methodologies and scenario planning
  • Deep knowledge of quantum computing, neuromorphic systems, and ethical AI
  • Published research in peer-reviewed journals on future technology impacts
  • Experience securing $5M+ in innovation grants or venture capital
  • Certification in Technology Foresight or Strategic Innovation Management

Required Skills

Technology Forecasting Quantum Computing AI Ethics Strategic Innovation R&D Leadership Scenario Planning Neuromorphic Systems Sustainable Tech

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