Job Description
Join Horizon Dynamics Group at the forefront of tomorrow's innovation. We're seeking a visionary 2026 Strategic Futurist Lead to architect the next wave of transformative technologies that will redefine industries. This pivotal role combines cutting-edge foresight with actionable strategy, positioning you at the intersection of AI, biotech, and sustainable infrastructure. Our Austin-based hub offers an unparalleled environment for collaborative innovation with world-class researchers and industry disruptors.
You'll lead cross-functional initiatives to map emerging trends, develop scenario-based roadmaps, and translate futuristic concepts into scalable solutions. This isn't just a job—it's your chance to shape the decade's most consequential breakthroughs while accelerating your career in one of America's fastest-growing tech ecosystems.
Responsibilities
- Develop and maintain 2026 technology roadmaps for quantum computing, synthetic biology, and climate resilience systems
- Lead scenario-planning workshops with C-suite executives to prepare for disruptive market shifts
- Collaborate with MIT Media Lab and Stanford HAI on emerging tech validation pilots
- Author quarterly white papers on AI governance and ethical framework evolution
- Direct $5M+ innovation fund allocation for prototyping next-gen human-machine interfaces
- Build strategic partnerships with NASA JPL and DARPA for space-tech commercialization
- Mentor cross-disciplinary teams in systems thinking and anticipatory leadership
Qualifications
- Advanced degree in Futures Studies, Systems Engineering, or related field with 8+ years experience
- Proven track record in translating 5+ year technological forecasts into commercial applications
- Expertise in exponential technology assessment (quantum, nanotech, neurotech)
- Published thought leadership in Nature Futures or similar peer-reviewed journals
- Experience securing federal grants (SBIR, NSF) for breakthrough innovations
- Fluency in scenario planning tools (STEEP, Delphi method) and AI-driven trend analysis
- Portfolio demonstrating at least two commercialized technologies from concept to market