Job Description
Join FutureVision Labs at the forefront of innovation as we shape the technological landscape of 2026. We seek a visionary 2026 Futurist Strategist to decode emerging trends, design next-gen frameworks, and lead transformative initiatives that will redefine industries. This role combines deep technical foresight with strategic execution, requiring a blend of analytical rigor and creative imagination. You'll collaborate with cross-functional teams to prototype solutions for autonomous systems, quantum computing integration, and sustainable tech ecosystems.
Our San Francisco hub offers unparalleled access to Silicon Valley's innovation ecosystem, with competitive benefits including equity, flexible work arrangements, and dedicated R&D budgets. If you thrive at the intersection of technology, business, and human-centric design, this is your opportunity to architect the future.
Responsibilities
- Analyze horizon-scanning data from AI, biotech, and climate tech to identify disruptive 2026 opportunities
- Develop strategic roadmaps for enterprise clients navigating post-quantum security challenges
- Lead cross-functional workshops to co-create human-AI collaboration frameworks
- Author thought leadership on regulatory implications of generative AI and synthetic biology
- Prototype decentralized infrastructure solutions for Web3.0 ecosystems
- Advocate for ethical design principles in autonomous system development
- Manage stakeholder communications from C-suite to engineering teams
Qualifications
- 10+ years in strategic consulting or R&D leadership within tech/biotech sectors
- Proven expertise in emerging technologies (quantum computing, neuromorphic chips, etc.)
- Strong publication record in futurism or technology ethics (e.g., IEEE, Nature Futures)
- Experience with scenario planning frameworks (e.g., Delphi, Horizon Scanning)
- Advanced degree in Systems Engineering, Futures Studies, or related field
- Portfolio demonstrating 2020-2025 trend predictions with 85%+ accuracy
- Certification in AI governance frameworks (e.g., IEEE 7000)