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Future Technology Strategist

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

Job Description

Join InnovateForward Labs to shape the technological landscape of 2026 and beyond. We're seeking a visionary Future Technology Strategist to lead our R&D initiatives in emerging fields like quantum computing, AI ethics, and sustainable tech infrastructure. This role combines deep technical expertise with forward-thinking innovation to develop roadmaps that will define the next decade of human progress.

Our ideal candidate thrives at the intersection of technology, sociology, and business strategy, translating complex concepts into actionable blueprints for global impact. You'll collaborate with Nobel laureates, startup founders, and government agencies to pioneer solutions for humanity's most pressing challenges.

Responsibilities

  • Develop 5-10 year technology roadmaps for quantum computing, biotech, and AI convergence
  • Lead cross-functional research initiatives with MIT, Stanford, and EU Innovation Labs
  • Design ethical frameworks for autonomous systems and human-machine symbiosis
  • Secure $10M+ in grants from NSF, DARPA, and Horizon Europe programs
  • Present findings at Davos, Web Summit, and UN Technology Forums
  • Mentor PhD fellows in future technology ethics and policy development
  • Produce annual 'State of 2026 Tech' whitepapers for Fortune 500 clients

Qualifications

  • PhD in Computer Science, Quantum Physics, or related field with 8+ years experience
  • Published research in Nature/Science on emerging technologies (post-2020)
  • Track record securing >$5M in government/VC funding for R&D projects
  • Expertise in quantum machine learning or synthetic biology workflows
  • Experience testifying before congressional tech policy committees
  • Fluency in at least two programming languages (Python, Rust, or Q#)
  • Portfolio of deployed AI systems with >1M users or equivalent impact

Required Skills

Quantum Computing AI Ethics Futurism Grant Writing Technology Policy Systems Thinking Quantum Machine Learning Synthetic Biology

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