Job Description
Join Nexus Innovations at the forefront of technological evolution as we redefine 2026's digital landscape. We seek an AI Futurist Strategist to architect tomorrow's intelligent ecosystems today. This role blends cutting-edge AI research with visionary business strategy to shape our product roadmap and competitive advantage. You'll collaborate with quantum computing teams, neurotech pioneers, and decentralized networks to build solutions that will define the next decade.
Why Nexus? Our culture thrives on moonshot thinking – we offer equity in breakthrough projects, unlimited learning stipends, and flexible remote work from our San Francisco hub. You'll influence billion-dollar decisions while maintaining autonomy in your innovation approach.
Responsibilities
- Develop 5-year AI strategic roadmaps aligning with emerging tech trends (quantum AI, AGI, neuro-symbolic systems)
- Lead cross-functional workshops to identify disruptive opportunities in autonomous systems and bio-digital interfaces
- Partner with C-suite executives to integrate AI-first principles into enterprise architecture
- Conduct horizon scanning for emerging threats and opportunities in generative AI and synthetic media
- Present future-state scenarios to investors and board members using immersive data visualization
- Build and mentor a team of futurist researchers with diverse technical backgrounds
- Author white papers on AI ethics and governance frameworks for 2026+ deployments
Qualifications
- 10+ years in AI/ML strategy, with 5+ years in futurism or tech forecasting
- Published research in top-tier AI conferences (NeurIPS, ICML) or equivalent industry impact
- Deep expertise in quantum machine learning and neuromorphic computing architectures
- Proven track record of influencing enterprise-level AI transformation
- Strong network within global AI research communities (e.g., Future of Humanity Institute, DeepMind)
- PhD in Computer Science, Cognitive Science, or related field (or equivalent experience)
- Exceptional communication skills translating complex concepts to non-technical stakeholders