Job Description
Join Innovate Future Labs as we redefine tomorrow's technological landscape. We seek a visionary 2026 Technology Futurist to architect breakthrough strategies that will shape the next generation of digital innovation. This pivotal role demands a forward-thinker who thrives at the intersection of emerging technologies, market disruption, and human-centric design. You'll lead cross-functional teams in developing roadmaps for quantum computing, AI ethics, and decentralized systems while ensuring alignment with sustainable development goals.
As a cornerstone of our strategic foresight division, you'll directly influence product roadmaps, investment decisions, and innovation partnerships. The ideal candidate combines deep technical acumen with exceptional storytelling abilities to translate complex futures into actionable blueprints.
Responsibilities
- Architect 2026 technology roadmaps for quantum computing, neuromorphic AI, and biotech convergence
- Lead scenario-planning workshops to identify disruption vectors across 15+ industries
- Develop patent-pending forecasting models using predictive analytics and NLP
- Advise C-suite on emerging tech risks and regulatory compliance frameworks
- Forge strategic partnerships with MIT Media Lab, Singularity University, and NASA
- Author quarterly futures intelligence reports read by Fortune 500 executives
- Mentor a 12-person innovation lab specializing in exponential technologies
Qualifications
- PhD in Computer Science, Futures Studies, or related field (or equivalent experience)
- 10+ years in tech strategy with 5+ years in exponential technologies
- Proven track record of commercializing emerging tech (AI/quantum/blockchain)
- Published author in peer-reviewed futures or technology journals
- Expertise in foresight methodologies (horizon scanning, Delphi, backcasting)
- Deep understanding of ethical AI frameworks and SDG alignment
- Exceptional communication skills with executive audiences and media presence
- Fluency in at least one programming language (Python preferred)