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2026 Technology Futurist

Innovate Tomorrow Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Join Innovate Tomorrow Labs as we pioneer the technological landscape of 2026. We're seeking a visionary 2026 Technology Futurist to architect our next-generation digital ecosystem. This role sits at the intersection of AI, quantum computing, and human-centric design, requiring someone who thrives in ambiguity and transforms futuristic concepts into actionable blueprints.

As a key member of our R&D division, you'll collaborate with Nobel laureates, Silicon Valley disruptors, and UN futurists to build the infrastructure for tomorrow. Our San Francisco headquarters offers unparalleled resources including a quantum lab, generative AI cluster, and neuro-interface testing facilities.

Responsibilities

  • Develop 5-year technology roadmaps for AI, quantum, and biotech convergence
  • Lead cross-functional prototyping of next-gen human-computer interfaces
  • Partner with UN Technology Envoy on global digital governance frameworks
  • Conduct horizon-scanning for emerging threats and opportunities post-2025
  • Architect decentralized infrastructure solutions for quantum-resistant security
  • Present strategic visions to C-suite boards and venture capital partners
  • Mentor junior futurists in speculative design methodologies

Qualifications

  • PhD in Computer Science, Systems Engineering, or Futurology
  • 5+ years in technology strategy at FAANG or equivalent
  • Published research in Nature/Science on emerging tech (2019-2024)
  • Proficiency in quantum algorithm design and neural network optimization
  • Experience with scenario planning frameworks (e.g., Delphi, STEEP)
  • Deep understanding of post-singularity ethical frameworks
  • Fluency in at least two programming languages (Python preferred)

Required Skills

strategic planning quantum computing AI ethics speculative design horizon scanning systems architecture generative AI decentralized networks

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