Job Description
Join Nexus Innovations at the forefront of technological evolution as we shape the digital landscape of 2026. We're seeking a visionary Future Tech Strategist to architect next-generation solutions that redefine industries. This pivotal role requires a blend of technical acumen, market foresight, and innovation leadership to drive our R&D roadmap for emerging technologies including quantum computing, advanced AI, and immersive metaverse ecosystems.
You'll collaborate with cross-functional teams to translate futuristic concepts into actionable blueprints while maintaining competitive advantage in rapidly evolving markets. This position offers unparalleled exposure to cutting-edge projects with global impact and the opportunity to leave your mark on the technological narrative of the coming decade.
Responsibilities
- Develop and execute 2026 technology roadmaps for quantum computing, AI, and metaverse integration
- Analyze emerging tech trends and competitive landscapes to inform strategic decisions
- Lead cross-functional teams in prototyping and validating futuristic solutions
- Secure and manage strategic partnerships with research institutions and industry leaders
- Present technology vision and progress to executive stakeholders and investors
- Drive innovation culture through hackathons and experimental R&D initiatives
- Ensure ethical implementation and responsible development of next-gen technologies
Qualifications
- 10+ years in technology strategy or R&D leadership with proven track record in emerging tech
- Deep expertise in quantum computing, advanced AI, or metaverse architectures
- Experience developing long-term (5+ year) technology roadmaps with measurable KPIs
- Strong background in competitive analysis and market positioning for disruptive technologies
- Certification in technology foresight or innovation management (preferred)
- Exceptional communication skills for translating complex concepts to diverse audiences
- Portfolio of delivered tech innovations or published research in relevant fields
- PhD or Master's in Computer Science, Engineering, or related discipline