Job Description
Shape tomorrow today at Horizon Dynamics Group. We're seeking a visionary 2026 Futurist Innovation Director to architect our next-generation technological ecosystem. Join our elite team of pioneers in Austin's thriving tech corridor, where we're redefining human-machine collaboration and sustainable innovation. This role offers unparalleled influence in developing breakthrough solutions that will define the next decade of technological advancement.
You'll lead cross-disciplinary initiatives at the intersection of AI, quantum computing, and biotechnology, working with industry pioneers to create commercially viable future technologies. Our Austin headquarters provides a dynamic environment with cutting-edge labs and flexible workspace designed for maximum creativity and productivity.
Responsibilities
- Architect and lead strategic roadmaps for 2026-2030 technological innovation initiatives
- Direct cross-functional R&D teams developing next-gen AI and quantum computing solutions
- Establish industry partnerships with leading research institutions and tech conglomerates
- Secure and manage multi-million dollar innovation grants and venture capital funding
- Present futuristic visions to C-suite executives and board stakeholders
- Oversee commercialization of emerging technologies from prototype to market launch
- Mentor junior futurists and innovation specialists in emerging tech methodologies
Qualifications
- 15+ years in technology innovation with 5+ years in directorial roles
- Proven track record in commercializing futuristic technologies (AI/quantum/biotech)
- Advanced degree in Computer Science, Engineering, or Futurist Studies
- Expertise in emerging tech forecasting and scenario planning methodologies
- Strong background in securing federal innovation grants (DARPA, NSF) and venture capital
- Published thought leadership in peer-reviewed futurist or technology journals
- Experience building and scaling high-performance innovation teams
- Proficiency in innovation frameworks like Horizon Scanning and Delphi Method