Job Description
Shape the technological landscape of tomorrow as our 2026 Future Tech Strategist at Nexus Innovations. We're seeking a visionary leader to architect our next-generation digital ecosystem and drive innovation across emerging technologies. This pivotal role bridges cutting-edge research with practical implementation, ensuring our organization remains at the forefront of technological evolution.
Join our elite team in Austin, where we're building the infrastructure for 2026's digital transformation. You'll collaborate with Nobel laureates, patent holders, and industry disruptors to redefine what's possible in quantum computing, AI ethics, and sustainable tech. This isn't just a job—it's your opportunity to write the future.
Responsibilities
- Lead cross-functional R&D initiatives for 2026-era technologies including quantum computing, neuromorphic chips, and decentralized AI systems
- Develop strategic roadmaps for technology adoption across enterprise operations and customer experiences
- Establish partnerships with academic institutions and national labs for breakthrough innovation
- Conduct horizon scanning to identify emerging technologies with 5-10 year commercialization potential
- Present technology vision to C-suite executives and board members with data-driven impact projections
- Manage $15M+ innovation budget with ROI-focused resource allocation
- Lead patent strategy for proprietary technologies targeting 2026 market dominance
Qualifications
- PhD or equivalent in Computer Science, Quantum Physics, or related field with 8+ years in tech strategy
- Proven track record of commercializing emerging technologies (3+ successful exits or deployments)
- Deep expertise in at least two of: quantum computing, advanced AI, bio-integrated tech, or climate modeling
- Executive-level presentation skills with experience addressing Fortune 500 audiences
- Certified in Technology Strategy from MIT Sloan or Stanford d.school
- Published research in top-tier journals (Nature, Science, or IEEE Spectrum)
- Fluency in at least two programming languages (Python, Rust, or Julia preferred)
- Experience with federal grant applications (DARPA, NSF, or DOE)