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2026 Technology Futurist

InnovateCore Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

Join InnovateCore Labs at the forefront of tomorrow's technological revolution. We're seeking a visionary 2026 Technology Futurist to architect our innovation roadmap for the next decade. This pivotal role demands strategic foresight to identify emerging tech paradigms and transform them into market-defining solutions. You'll lead cross-disciplinary teams to prototype next-generation systems while maintaining our industry leadership in quantum computing, AI ethics, and sustainable tech. If you thrive at the intersection of science fiction and practical implementation, this is your launchpad to shape the future.

Responsibilities

  • Develop 5-year technology roadmaps for quantum computing integration and AI autonomy systems
  • Lead research consortia on decentralized networks and biotech convergence
  • Architect ethical frameworks for AGI deployment and human-machine symbiosis
  • Drive innovation sprints with MIT/Stanford partnerships for nanotech applications
  • Present tech foresight reports to C-suite and board of directors
  • Mentor R&D teams in exponential technology adoption methodologies
  • Secure $10M+ in R&D grants for future-focused initiatives

Qualifications

  • PhD in Computational Physics, Robotics, or equivalent with 8+ years in R&D leadership
  • Published work in Nature/Science on quantum machine learning or neuromorphic systems
  • Proven track record scaling ventures from concept to $100M+ valuation
  • Expertise in ISO 42001 AI governance frameworks and IEEE ethics standards
  • Patent portfolio with 15+ granted patents in emerging technologies
  • Experience with DARPA/EPSRC grant applications for frontier tech
  • Certification in Singularity University Executive Program or equivalent

Required Skills

Quantum Computing AI Ethics Exponential Tech Future Forecasting Biotech Convergence Nanotech Strategic Foresight Grant Writing R&D Leadership Decentralized Systems

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