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Future Tech Strategist 2026

Horizon Innovations Group
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
18 Mei 2026
Deadline
18 Mei 2027

Job Description

Join Horizon Innovations Group as we architect the technological landscape of 2026. We seek a visionary Future Tech Strategist to lead our R&D division in pioneering next-gen solutions that will redefine industries. You'll work at our Austin headquarters collaborating with quantum computing experts, AI architects, and sustainability innovators to shape tomorrow's breakthrough technologies. This role offers unparalleled influence in developing patent-pending systems across clean energy, autonomous systems, and biotech integration.

We offer competitive equity packages, flexible hybrid work arrangements, and a $10k annual innovation budget for personal tech experimentation. Our state-of-the-art lab features quantum annealing processors and neuromorphic computing arrays. If you thrive at the intersection of emerging technologies and market disruption, this is your opportunity to leave a lasting impact.

Responsibilities

  • Lead strategic technology roadmapping for 2026-2030, focusing on quantum-AI convergence and sustainable tech
  • Direct cross-functional R&D teams developing proprietary algorithms for predictive market modeling
  • Establish partnerships with academic institutions (MIT, Stanford, UT Austin) for emerging tech research
  • Conduct competitive analysis of global tech trends and patent landscapes
  • Present quarterly innovation briefings to C-suite and board stakeholders
  • Manage $2M annual R&D budget with ROI-driven technology selection
  • Mentor junior researchers in future-focused methodologies

Qualifications

  • 10+ years in tech strategy or R&D leadership, with 5+ years focused on emerging technologies
  • Proven track record in commercializing breakthrough innovations (patents or acquisitions)
  • Expertise in at least two of: quantum computing, neuromorphic systems, carbon capture tech, or synthetic biology
  • Advanced degree in Computer Science, Physics, or Engineering (PhD preferred)
  • Published research in IEEE Nature or equivalent tier journals
  • Proficiency in scenario planning and technology forecasting methodologies
  • Experience securing federal grants (DARPA, NSF) or venture capital for tech ventures

Required Skills

Quantum Computing AI Strategy Technology Forecasting R&D Management Patent Development Sustainable Tech Neuromorphic Systems Scenario Planning

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