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Information Technology 🏢 Full Time ⭐️ Verified

Future Technology Strategist

InnovateTomorrow Labs
San Francisco
Estimated Salary
USD 180.000 – USD 220.000
Live Update
20 Mei 2026
Deadline
20 Mei 2027

Job Description

Join InnovateTomorrow Labs at the forefront of technological evolution as we shape the digital landscape of 2026. We're seeking a visionary Future Technology Strategist to architect next-gen solutions that redefine industries. This role combines cutting-edge research with actionable business strategy, requiring both technical depth and creative foresight. Collaborate with cross-functional teams to translate emerging trends into scalable innovations that drive market leadership. Our dynamic environment offers unparalleled opportunities to influence the future of AI, quantum computing, and sustainable tech.

Responsibilities

  • Lead horizon scanning and technology forecasting for 2026+ market trends
  • Develop strategic roadmaps integrating emerging technologies (AI, quantum, bioinformatics)
  • Partner with C-suite to align tech initiatives with long-term business objectives
  • Conduct competitive analysis and innovation gap assessments
  • Drive R&D investment decisions for breakthrough technologies
  • Present strategic insights to executive stakeholders and industry forums
  • Mentor cross-functional teams on future technology adoption

Qualifications

  • 10+ years in technology strategy or emerging tech innovation
  • Proven track record in forecasting tech trends (2020-2025 validation required)
  • Expertise in at least two future-tech domains (AI, quantum, AR/VR, etc.)
  • Strategic consulting or corporate innovation leadership experience
  • Strong data analysis and scenario modeling capabilities
  • Published thought leadership in tech futurism (articles, patents, or keynotes)
  • Advanced degree in Computer Science, Engineering, or Business Strategy

Required Skills

Technology Strategy Future Forecasting AI Innovation Quantum Computing Strategic Planning Market Analysis R&D Leadership Data Modeling

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