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Information Technology 🏢 Full Time ⭐️ Verified

2026 Technology Futurist

Innovate Tomorrow Inc.
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Join our visionary team as a 2026 Technology Futurist and architect the digital frontier. We're seeking a strategic innovator to decode emerging trends and shape tomorrow's tech landscape. At Innovate Tomorrow Inc., we empower pioneers to redefine human-machine interaction through quantum computing, AI ethics, and sustainable tech. Your insights will directly influence our 2026 product roadmap and industry standards.

This hybrid role demands a blend of technical depth and visionary thinking. You'll collaborate with Nobel laureates and startup disruptors while enjoying Austin's thriving tech ecosystem. We offer equity, unlimited PTO, and cutting-edge R&D resources.

Responsibilities

  • Forecast technology impacts on global markets through 2026 using predictive modeling
  • Develop strategic frameworks for quantum computing integration in enterprise systems
  • Lead cross-functional workshops on AI ethics and responsible innovation
  • Produce annual 'FutureTech Horizon' reports for C-suite executives
  • Advise on sustainability initiatives for next-gen hardware development
  • Build partnerships with academic institutions and government agencies
  • Mentor emerging talent through our 'Future Leaders' program

Qualifications

  • 10+ years in emerging technology strategy or R&D leadership
  • Published research in quantum computing or AI ethics (IEEE/ACM preferred)
  • Experience with scenario planning and trend analysis methodologies
  • Deep knowledge of blockchain, neuromorphic computing, or biotech convergence
  • Proven track record influencing tech policy or industry standards
  • PhD or equivalent in Computer Science/Futurology (required)
  • Fluency in at least two programming languages (Python, R, or Julia)

Required Skills

futurism quantum computing AI ethics strategic planning trend analysis policy influence R&D leadership scenario modeling

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