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Futurist Innovation Strategist 2026

Nexus Horizon Labs
Austin
Estimated Salary
USD 160.000 – USD 220.000
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Join Nexus Horizon Labs at the forefront of 2026's technological revolution. We're seeking a visionary Futurist Innovation Strategist to architect our next-generation ecosystem. This pivotal role bridges quantum computing, AI ethics, and sustainable tech to redefine human progress. You'll collaborate with Nobel laureates and disruptors to incubate breakthrough solutions that shape tomorrow's industries.

Our Austin-based innovation hub offers unparalleled resources, including a $50M R&D fund and partnerships with MIT and Stanford. We value audacious thinking and rigorous execution in equal measure.

Responsibilities

  • Architect 5-year innovation roadmaps aligning with 2026 technological inflection points
  • Lead cross-disciplinary teams in developing quantum-AI hybrid systems
  • Identify emerging tech disruptions through horizon scanning and trend analysis
  • Develop ethical frameworks for autonomous systems and neural interfaces
  • Secure $20M+ in innovation grants from federal and private sources
  • Present strategic visions to C-suite executives and government agencies
  • Monitor global policy shifts impacting emerging technologies

Qualifications

  • PhD in Computer Science, Systems Engineering, or Futurology with 8+ years experience
  • Proven track record in commercializing breakthrough technologies (3+ products)
  • Expertise in quantum computing, neuromorphic chips, or generative AI
  • Deep understanding of 2026's regulatory landscape (e.g., AI Act, quantum policies)
  • Published author in peer-reviewed journals or industry whitepapers
  • Fluency in Python, TensorFlow, and quantum programming languages
  • Experience securing federal SBIR/STTR grants
  • Portfolio of 2026-focused innovation projects or patents

Required Skills

Futurology Quantum Computing AI Ethics Strategic Innovation Systems Architecture Grant Writing Neuromorphic Engineering Policy Analysis

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