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Information Technology 🏢 Full Time ⭐️ Verified

Future Tech Strategist 2026

Nexus Innovations
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

Join Nexus Innovations at the forefront of technological evolution. We're seeking a visionary Future Tech Strategist to architect our 2026 roadmap, driving breakthroughs in AI ethics, quantum integration, and sustainable tech. This role sits at the intersection of innovation and practical implementation, shaping how humanity interacts with emerging technologies.

As a key architect of our next-generation tech ecosystem, you'll collaborate with Nobel laureates, Silicon Valley pioneers, and global policy-makers to define ethical frameworks and scalable solutions for the coming decade. Our culture thrives on audacious thinking and meticulous execution.

Responsibilities

  • Design and implement 2026 technology roadmaps for AI, quantum computing, and biotech convergence
  • Lead cross-disciplinary teams of engineers, ethicists, and futurists
  • Establish governance frameworks for ethical AI deployment and autonomous systems
  • Partner with Fortune 500 companies to integrate next-gen solutions
  • Develop predictive models for societal impact of emerging technologies
  • Secure $10M+ in R&D funding through strategic proposal development
  • Present at Davos, CES, and global tech policy summits

Qualifications

  • 15+ years in tech strategy with 5+ years in emerging tech (quantum/AI/biotech)
  • PhD or equivalent in Computer Science, Engineering, or Futuristics
  • Proven track record scaling tech startups to unicorn valuations
  • Expertise in ethical AI frameworks (EU AI Act, NIST guidelines)
  • Published research in Nature/Science on technology convergence
  • Security clearance (TS/SCI preferred)
  • Fluency in Python, TensorFlow, and quantum programming languages

Required Skills

Strategic Planning Quantum Computing AI Ethics Futurism Cross-disciplinary Leadership Tech Policy R&D Management Predictive Modeling

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