Job Description
Join Nexus Horizons Inc. at the forefront of tomorrow's innovation. We seek a visionary 2026 Strategic Futurist to architect the next decade of technological and societal evolution. This pivotal role combines foresight analysis, strategic planning, and cross-industry collaboration to position our organization as a leader in emerging paradigms. You'll work with C-suite executives, research labs, and global think tanks to develop actionable frameworks for the post-2025 landscape.
Our dynamic environment offers unparalleled opportunities to shape the future of AI ethics, sustainable tech, and human-machine symbiosis. This hybrid position requires 3 days in our San Francisco innovation hub, with flexible remote options for strategic planning sessions. We provide cutting-edge resources, including access to quantum computing simulators and proprietary trend-forecasting platforms.
Responsibilities
- Develop 5-10 year strategic roadmaps for emerging technologies (quantum computing, synthetic biology, AGI)
- Lead scenario-planning workshops for C-suite executives on post-2025 market disruptions
- Conduct horizon scanning and trend analysis across 15+ industries
- Establish partnerships with academic institutions and government innovation labs
- Author white papers on ethical frameworks for next-gen technologies
- Design corporate resilience strategies for climate and societal tipping points
- Mentor a team of junior futurists using our proprietary foresight methodology
Qualifications
- Advanced degree in Futures Studies, Systems Thinking, or related field (PhD preferred)
- 8+ years in strategic foresight, innovation consulting, or R&D leadership
- Published research on exponential technologies or societal transformation
- Proficiency in foresight tools (horizon scanning, Delphi methods, causal layered analysis)
- Experience engaging with Fortune 100 C-suite on strategic visioning
- Demonstrated ability to translate complex futures into actionable business strategies
- Deep understanding of climate-tech convergence and ethical AI governance