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Information Technology 🏢 Full Time ⭐️ Verified

Future Technology Strategist

Nexus Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Join Nexus Innovations at the forefront of technological evolution as we pioneer solutions for 2026 and beyond. We seek a visionary Future Technology Strategist to architect our next-generation digital ecosystem. This role demands a blend of deep technical expertise and strategic foresight to transform emerging innovations into scalable business advantages. Work alongside world-class researchers and engineers to redefine industry standards while shaping the future of human-machine interaction.

Responsibilities

  • Develop and execute long-term technology roadmaps aligned with 2026 market projections
  • Identify and evaluate emerging technologies (quantum computing, AI ethics, neural interfaces) for strategic implementation
  • Lead cross-functional teams in prototyping next-generation digital experiences
  • Conduct competitive analysis and technology forecasting for C-suite decision-making
  • Establish innovation frameworks to accelerate R&D cycles
  • Forge strategic partnerships with academic institutions and tech pioneers
  • Present technology strategy to executive stakeholders and investor boards

Qualifications

  • 10+ years in technology strategy with 5+ years in emerging tech forecasting
  • Advanced degree in Computer Science, Engineering, or related field
  • Proven track record in scaling AI/ML, blockchain, or IoT solutions
  • Deep understanding of technology convergence trends and ethical implications
  • Experience with scenario planning and technology adoption lifecycle management
  • Certification in technology foresight (e.g., from Institute for the Future)
  • Strong analytical skills with ability to translate complex data into actionable strategy

Required Skills

Strategic Planning Technology Forecasting AI/ML Blockchain Quantum Computing Innovation Management Ethical Tech Data Analytics

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