Job Description
Join Horizon Dynamics at the forefront of tomorrow's revolution as our 2026 Futurist & Innovation Lead. We're seeking visionary strategists to architect the next decade of breakthrough technologies. This pivotal role bridges emerging research with market-ready solutions, shaping how humanity interacts with AI, quantum computing, and sustainable systems. You'll collaborate with Nobel laureates, Silicon Valley disruptors, and government futurists to blueprint the 2026 landscape. Our Austin hub offers unparalleled resources for prototyping and scaling paradigm-shifting innovations. If you thrive at the intersection of foresight, technology, and human-centric design, this is your moment to define the future.
Responsibilities
- Develop strategic roadmaps for 2026 technology adoption across AI, bioengineering, and space exploration sectors
- Lead cross-functional teams in prototyping next-gen human-AI interfaces and autonomous systems
- Conduct horizon scanning for emerging technologies with 3-5 year market impact potential
- Partner with Fortune 500 clients to integrate 2026 innovation frameworks into their digital transformation
- Author white papers on quantum computing applications and ethical AI governance for 2026
- Manage $2M+ innovation budgets for experimental projects in quantum cryptography and neurotech
- Represent Horizon Dynamics at global futurist conferences and policy summits
Qualifications
- 10+ years in strategic innovation or futurist roles with Fortune 500 or Big Tech
- PhD or equivalent in Futures Studies, Quantum Computing, or Cognitive Science
- Published research in Nature, MIT Tech Review, or similar on emerging tech trends
- Expertise in scenario planning and systemic impact modeling for 2026+ timelines
- Track record of scaling moonshot projects from concept to commercialization
- Deep understanding of quantum algorithms, neuromorphic computing, and climate tech
- Security clearance preferred (federal contract experience a plus)
- Proficiency in foresight methodologies like Delphi or causal layered analysis