Job Description
Join Innovatech Labs as a Futurist Strategist to architect the next frontier of human progress. We're seeking a visionary thinker to decode emerging technologies and societal shifts, transforming abstract possibilities into actionable roadmaps for 2026 and beyond. This role sits at the intersection of technology, anthropology, and business strategy, where your insights will directly shape our product development and market positioning.
At Innovatech, we foster a culture of radical innovation where curiosity is currency. You'll collaborate with quantum computing researchers, neuroscientists, and AI ethicists to anticipate paradigm shifts before they happen. If you thrive at the bleeding edge of possibility and possess an uncanny ability to connect dots others miss, this is your moment to define tomorrow.
Responsibilities
- Scan global technological, economic, and cultural signals to identify high-impact trends for 2026 landscape
- Develop scenario-based strategic frameworks for quantum-integrated AI systems and neuro-interfaces
- Lead cross-functional 'Future Labs' workshops to incubate next-generation product concepts
- Produce annual 'Horizon Scan' reports synthesifying exponential technology convergence points
- Advise C-suite on ethical implications of emerging tech adoption and regulatory landscapes
- Build predictive models for societal behavioral shifts under AI-augmented environments
- Represent company at global futurist forums and innovation summits
Qualifications
- Master's degree in Futures Studies, Systems Thinking, or related field (PhD preferred)
- 5+ years in strategic foresight, innovation consulting, or emerging technology research
- Proven track record of translating future scenarios into commercial roadmaps
- Deep expertise in exponential technologies: quantum computing, synthetic biology, AGI
- Exceptional systems thinking and pattern recognition across complex domains
- Published thought leadership in futurist publications or peer-reviewed journals
- Experience leading cross-disciplinary teams in ambiguous, fast-evolving environments