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Information Technology 🏢 Full Time ⭐️ Verified

Future Tech Strategist 2026

Nexus Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 220.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 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 innovation in AI, quantum computing, and sustainable tech. This role combines cutting-edge foresight with pragmatic execution to shape tomorrow's digital landscape.

As a key member of our executive team, you'll lead cross-functional initiatives, partner with global research institutions, and develop frameworks for emerging technology adoption. If you thrive at the intersection of science, business strategy, and human-centric design, this is your opportunity to define the future.

Responsibilities

  • Develop and implement 2026 technology strategy roadmap with measurable KPIs
  • Lead AI/ML and quantum computing adoption initiatives across enterprise divisions
  • Establish partnerships with MIT, Stanford, and EU research labs for breakthrough innovations
  • Create ethical frameworks for autonomous systems and biotechnology integration
  • Present strategic vision to C-suite and board of directors quarterly
  • Manage $5M+ R&D budget with ROI-focused technology portfolio
  • Mentor emerging tech talent through internal innovation incubator

Qualifications

  • 10+ years in technology strategy with 5+ in executive leadership
  • PhD or Master's in Computer Science, Engineering, or Futurism
  • Proven track record scaling AI/quantum initiatives at Fortune 500 level
  • Published research in Nature/Science or equivalent peer-reviewed journals
  • Deep understanding of global tech policy (GDPR, CLOUD Act, etc.)
  • Fluency in Python, TensorFlow, and quantum computing fundamentals
  • Exceptional communication skills for technical and non-technical audiences

Required Skills

Artificial Intelligence Quantum Computing Strategic Planning Technology Forecasting Machine Learning R&D Management Ethics in Technology Futurism

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