Job Description
Join Nexus Innovations as a 2026 Technology Futurist and architect the digital landscape of tomorrow. We're seeking a visionary strategist to spearhead our technology roadmap for the post-2025 era, where quantum computing, neural interfaces, and ambient AI converge. This pivotal role demands someone who can anticipate paradigm shifts and transform futuristic concepts into actionable business strategies.
In our state-of-the-art Austin Innovation Center, you'll collaborate with quantum physicists, AI ethicists, and biotech pioneers to develop frameworks for next-gen human-machine symbiosis. You'll lead cross-disciplinary teams in prototyping solutions that will redefine industries by 2026, while ensuring ethical alignment and societal impact. This isn't just about predicting the future – it's about creating it.
Responsibilities
- Develop and implement technology roadmaps targeting 2026-2030 paradigm shifts in quantum, AI, and biotech convergence
- Lead scenario planning for 15+ emerging technologies with $1B+ market potential
- Architect ethical frameworks for neural interfaces and ambient AI ecosystems
- Partner with C-suite to align technological innovation with 5-year business strategy
- Establish KPIs for measuring readiness for 2026 technological inflection points
- Present findings to industry forums and regulatory bodies shaping future tech policy
- Mentor a team of futurists and technology strategists in predictive modeling
Qualifications
- Master's degree in Computer Science, Quantum Physics, or Strategic Innovation (PhD preferred)
- 10+ years in technology strategy with direct experience in future-casting methodologies
- Proven track record developing roadmaps for emerging technologies with 5+ year horizons
- Deep expertise in at least three of: quantum computing, synthetic biology, AGI ethics, or neural interfaces
- Published research on technological singularity scenarios or 2026+ tech disruption
- Experience advising Fortune 500 companies on digital transformation beyond 2025
- Fluency in predictive modeling frameworks (e.g., Delphi method, causal layered analysis)