Job Description
Join Nexus Innovations at the forefront of tomorrow's digital frontier. We're seeking a visionary Future Technology Strategist to architect our 2026+ roadmap and drive breakthrough innovations. This role combines cutting-edge technical foresight with strategic business leadership to shape how humanity interacts with emerging technologies. You'll work alongside industry pioneers to develop next-gen solutions in AI, quantum computing, and immersive realities while ensuring ethical implementation and sustainable growth.
Why Nexus Innovations? We're not just preparing for 2026—we're actively creating it. With 15+ years of industry disruption and a portfolio of 200+ patented technologies, our culture thrives on audacious thinking and rapid prototyping. Enjoy competitive equity packages, flexible work arrangements, and access to our state-of-the-art R&D labs in the heart of Silicon Valley.
Responsibilities
- Lead cross-functional teams in developing 3-5 year technology roadmaps for quantum AI integration and decentralized systems
- Conduct horizon scanning of emerging technologies (neuromorphic computing, synthetic biology, etc.) and assess commercial viability
- Collaborate with C-suite executives to align tech strategy with business objectives and market expansion plans
- Design ethical frameworks for AI deployment and algorithmic governance protocols
- Manage $2M+ annual innovation budget for prototyping and pilot programs
- Present strategic recommendations to board members and industry stakeholders at global tech forums
- Mentor junior strategists and foster a culture of continuous learning and experimentation
Qualifications
- 10+ years in technology strategy, R&D management, or emerging tech consulting
- Proven track record of launching disruptive products with $50M+ market impact
- Expertise in at least two of: quantum computing, generative AI, or spatial computingCertification in Futures Thinking or Strategic Foresight (e.g., WFS, APF)
- Published research or patents in emerging technologies (IEEE/ACM preferred)
- Experience scaling teams from 5 to 50+ members in high-growth environments
- Proficiency in scenario planning tools and data-driven decision frameworks
- PhD or Master's in Computer Science, Engineering, or related field