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Technology Strategy 🏢 Full Time ⭐️ Verified

Future Technologies Strategist

InnovateNext Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

Join InnovateNext Labs at the forefront of technological evolution! We're seeking a visionary Future Technologies Strategist to architect our innovation roadmap for 2026 and beyond. Shape how humanity interacts with emerging technologies while leading cross-functional teams in prototyping breakthrough solutions. This role combines strategic foresight with hands-on execution in our state-of-the-art San Francisco hub.

You'll drive our quantum computing, neurotech, and decentralized AI initiatives while mentoring next-gen innovators. If you thrive at the intersection of science fiction and commercial viability, this is your calling to define tomorrow's digital landscape.

Responsibilities

  • Develop 5-year technology roadmaps for quantum computing and neurotech integration
  • Lead cross-functional teams in prototyping emergent tech solutions
  • Conduct horizon scanning for disruptive technologies with commercial potential
  • Partner with C-suite to align tech strategy with business objectives
  • Secure $5M+ annual R&D funding through compelling investor presentations
  • Mentor emerging technologists in our Future Leaders program
  • Author thought leadership pieces on 2026 tech trends

Qualifications

  • 10+ years in tech strategy or emerging technologies leadership
  • Proven track record in commercializing breakthrough innovations
  • Expertise in quantum computing, neurotech, or AI ethics
  • PhD or equivalent in Computer Science/Engineering preferred
  • Published research in IEEE Nature or similar tier-1 journals
  • Experience securing institutional R&D funding >$3M
  • Fluency in Python, TensorFlow, and quantum programming frameworks
  • Exceptional systems thinking and scenario planning abilities

Required Skills

strategic planning quantum computing neurotechnology AI ethics horizon scanning R&D funding systems thinking TensorFlow Python

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