Job Description
Join InnovateFuture Labs as a visionary 2026 Futurist Strategist and help define tomorrow's technology landscape today. We're seeking a forward-thinking leader to architect our innovation roadmap for the post-2025 era, bridging cutting-edge research with market-ready solutions. In this pivotal role, you'll collaborate with quantum computing pioneers, AI ethicists, and sustainable tech architects to build the next generation of breakthrough products.
This hybrid position offers unparalleled autonomy to explore emerging technologies while ensuring alignment with our mission of ethical innovation. You'll lead cross-functional initiatives from concept to commercialization, working in our state-of-the-art San Francisco campus with panoramic bay views and world-class amenities.
Responsibilities
- Develop comprehensive 2026 technology adoption roadmaps for quantum computing, AI ethics, and sustainable infrastructure
- Lead horizon scanning initiatives identifying paradigm-shifting technologies with 3-5 year commercial viability
- Architect innovation frameworks integrating neuro-interfaces, biotech convergence, and decentralized systems
- Partner with C-suite executives to align future-proofing strategies with enterprise goals
- Manage a portfolio of moonshot projects with $10M+ annual R&D budgets
- Present strategic foresight findings to global stakeholders at industry summits and investor forums
Qualifications
- 10+ years in strategic foresight, technology consulting, or corporate innovation leadership
- Proven track record of commercializing emerging technologies (quantum/AI/sustainability focus)
- Advanced degree in Futures Studies, Systems Engineering, or equivalent technical field
- Deep expertise in technology convergence patterns and exponential innovation models
- Published thought leadership in peer-reviewed journals or top-tier industry publications
- Certification in Strategic Foresight (e.g., CFMP) or equivalent predictive analytics credentials
- Experience securing $50M+ in innovation funding from public/private sources