Job Description
Join QuantumLeap Innovations at the forefront of technological evolution as we shape the world of 2026. We seek a visionary Futurist Innovation Strategist to architect transformative solutions that will redefine industries. This role combines cutting-edge research with strategic foresight to develop roadmaps for emerging technologies including quantum computing, AI ethics, and sustainable tech ecosystems. You'll collaborate with C-suite executives to translate futuristic concepts into actionable business strategies while maintaining our position as industry pioneers.
Our ideal candidate thrives at the intersection of technology and human potential, leveraging data-driven insights to anticipate market shifts and societal needs. This hybrid-remote position offers unparalleled autonomy to explore uncharted territories of innovation while working with a diverse team of Nobel laureates and industry disruptors.
Responsibilities
- Develop 5-10 year technology roadmaps for quantum computing, AI, and biotech integration
- Anticipate global market disruptions and societal impacts of emerging technologies
- Lead cross-functional workshops to align executive teams on innovation priorities
- Author thought leadership publications on future technology trends
- Design ethical frameworks for next-gen AI and automation systems
- Partner with venture capital arms to identify disruptive startups
- Present strategic recommendations to board members and government stakeholders
Qualifications
- PhD or Master's degree in Futuristics, Systems Thinking, or related field
- 10+ years in strategic innovation or technology foresight roles
- Proven track record of launching futuristic initiatives (quantum/AI/bio)
- Deep expertise in technology convergence patterns and exponential growth models
- Exceptional storytelling skills for communicating complex futures
- Published research on emerging technology societal impacts
- Certification in Futures Thinking (e.g., CFTR) or equivalent
- Experience with scenario planning and horizon scanning methodologies