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Future Tech Strategist 2026

Horizon Innovations
Austin
Estimated Salary
USD 140.000 – USD 220.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Join Horizon Innovations as a Future Tech Strategist 2026 and architect the next wave of technological transformation. We're seeking a visionary leader to navigate emerging tech landscapes, drive R&D initiatives, and shape our innovation roadmap for the post-2025 era. This role combines cutting-edge research with strategic business planning to position us at the forefront of quantum computing, AI ethics, and sustainable tech.

As a key member of our Advanced Research Division, you'll collaborate with Nobel laureates, patent-pending engineers, and global policy influencers. Enjoy hybrid work flexibility, unlimited R&D budget, and equity in a company valued at $2B+. We offer relocation packages, wellness stipends, and sabbaticals for deep-dive research projects.

Responsibilities

  • Develop 2026+ tech roadmaps for quantum computing integration and AI governance frameworks
  • Lead cross-functional teams in prototyping next-gen hardware/software solutions
  • Partner with government agencies on tech policy development and ethical AI standards
  • Secure $5M+ annual R&D funding through grant writing and venture partnerships
  • Mentor PhD researchers and publish in top-tier journals (Nature, Science)
  • Present strategic vision at global summits (WEF, CES, VivaTech)

Qualifications

  • PhD in Quantum Computing, AI Ethics, or related field (or equivalent experience)
  • 10+ years in tech R&D with 5+ in strategic leadership roles
  • Published research in quantum algorithms or AI alignment systems
  • Track record of securing $1M+ in research grants or venture funding
  • Deep understanding of tech regulatory landscapes (US/EU/Asia)
  • Fluency in Python, TensorFlow, and quantum programming frameworks
  • Experience scaling teams from 5 to 50+ researchers

Required Skills

Quantum Computing AI Ethics Strategic Planning R&D Management Grant Writing Tech Policy Machine Learning Leadership

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