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Information Technology 🏢 Full Time ⭐️ Verified

Futurist Technology Strategist

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

Job Description

Shape tomorrow's digital landscape today. Innovate Tomorrow Labs seeks a visionary Futurist Technology Strategist to architect our 2026 technology roadmap. Join our elite team of pioneers redefining human-machine interaction through quantum computing, neural interfaces, and decentralized AI ecosystems. This role blends cutting-edge research with commercial execution, positioning you at the intersection of science fiction and reality.

We offer unparalleled resources, a patent-inclusive culture, and the freedom to explore paradigm-shifting concepts. Your work will directly influence how humanity interacts with technology in the coming decade.

Responsibilities

  • Develop 5-year technology foresight frameworks for AI, robotics, and biotech convergence
  • Lead cross-functional workshops mapping quantum computing applications to industry verticals
  • Produce strategic whitepapers on neural interface adoption barriers and solutions
  • Partner with product teams to prototype next-gen human-computer interaction paradigms
  • Analyze emerging tech policy implications for autonomous systems and synthetic biology
  • Represent the company at global technology foresight forums and academic symposiums

Qualifications

  • PhD in Computer Science, Cognitive Engineering, or Futurist Studies (or equivalent experience)
  • 5+ years in technology strategy at Fortune 500 or unicorn-scale startups
  • Published research in IEEE/ACM journals on human-machine augmentation
  • Expertise in quantum algorithms and neuromorphic computing architectures
  • Proven track record of translating theoretical models into commercial applications
  • Deep understanding of ethical frameworks for superintelligent AI development
  • Fluency in at least one programming language (Python/Java preferred)

Required Skills

Foresight Methodology Quantum Computing Neural Interfaces AI Ethics Strategic Planning Technology Policy Human-Machine Interaction Systems Thinking

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