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Future Tech Strategist (2026 Vision)

Horizon Innovations
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Join our elite team at Horizon Innovations as we architect the technological landscape of 2026. We seek a visionary Future Tech Strategist to lead our R&D initiatives in quantum computing, AI ethics, and sustainable tech innovation. This role offers unparalleled influence in shaping tomorrow's breakthroughs while working in our state-of-the-art San Francisco hub. You'll collaborate with Nobel laureates and industry disruptors to develop patent-pending solutions that will redefine human progress.

Our culture rewards bold thinking and provides comprehensive benefits including equity, flexible work arrangements, and dedicated innovation time. This is your opportunity to leave an indelible mark on the future of technology.

Responsibilities

  • Develop and execute 5-year technology roadmaps aligned with 2026 market forecasts
  • Lead cross-functional teams in prototyping next-gen AI and quantum systems
  • Conduct horizon scanning to identify emerging tech disruptions
  • Forge strategic partnerships with academic institutions and tech pioneers
  • Present future tech visions to C-suite and board stakeholders
  • Secure $5M+ annual R&D funding through compelling investment proposals
  • Mentor junior researchers in ethical tech development practices

Qualifications

  • 10+ years in technology strategy or R&D leadership
  • Proven track record in scaling innovative tech initiatives
  • Expertise in AI, quantum computing, or biotech convergence
  • Published research in IEEE Nature or equivalent tier journals
  • Advanced degree in Computer Science, Engineering, or related field
  • Experience securing federal grants and venture capital
  • Deep understanding of global tech policy landscapes
  • Fluency in at least one programming language (Python/C++ preferred)

Required Skills

Strategic Planning Emerging Technologies AI Ethics Quantum Computing R&D Leadership Innovation Management Future Forecasting Data Science

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