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Future Technologist - 2026 Vision Lead

Innovatech Futures
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Join Innovatech Futures at the forefront of technological evolution! We're seeking a visionary Future Technologist to architect our 2026 digital roadmap and pioneer breakthrough solutions that will redefine industries. This role blends cutting-edge research with strategic implementation, requiring both deep technical expertise and transformative thinking.

As part of our elite Innovation Lab, you'll collaborate with Nobel laureates, NASA engineers, and quantum computing pioneers to solve humanity's grand challenges. Our San Francisco campus offers unparalleled resources—from neuro-quantum interfaces to climate modeling supercomputers—while fostering a culture where moonshot thinking is daily practice.

Responsibilities

  • Develop and execute the 2026 technology vision roadmap across AI, quantum computing, and biotech convergence
  • Lead cross-functional teams in prototyping next-gen systems (neural interfaces, climate AI, etc.)
  • Partner with Fortune 100 clients to implement future-ready infrastructure
  • Conduct horizon-scanning research on emerging technologies (quantum AI, synthetic biology, etc.)
  • Secure $5M+ in R&D funding through federal grants and corporate partnerships
  • Present findings at Davos, CES, and global tech summits
  • Mentor PhD candidates in our Future Tech Fellowship program

Qualifications

  • PhD in Computer Science, Quantum Physics, or Bioengineering with 8+ years industry experience
  • Published research in Nature/Science on emerging tech (quantum computing, AI ethics, etc.)
  • Proven track record of scaling moonshot projects from concept to market
  • Expertise in at least 3 future-tech domains: quantum algorithms, neuromorphic computing, or climate modeling
  • Experience securing federal grants (DARPA, NSF) or corporate venture funding
  • Fluency in future-tech frameworks (Singularity University, Long-term Institute methodologies)
  • Portfolio demonstrating 3+ technologies deployed at enterprise scale

Required Skills

Quantum Computing AI Ethics Neuromorphic Engineering Future Forecasting Climate AI Neuro-Quantum Interfaces Grant Writing Moonshot Project Management

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