Job Description
Join QuantumLeap Innovations at the forefront of technological evolution as we pioneer solutions for 2026 and beyond. We seek a visionary Future Technology Strategist to architect our next-generation digital ecosystem. This role requires deep expertise in emerging technologies and the ability to translate complex innovations into actionable business strategies. You'll lead cross-functional teams in developing AI-driven platforms, quantum computing applications, and sustainable tech frameworks that will redefine industry standards. Our Austin-based headquarters offers a collaborative environment where creativity meets cutting-edge R&D. If you're passionate about shaping tomorrow's technological landscape today, this is your defining opportunity.
Responsibilities
- Develop comprehensive technology roadmaps aligning with 2026 market trends and organizational goals
- Lead research initiatives in quantum computing, advanced AI, and sustainable tech solutions
- Collaborate with C-suite executives to integrate emerging technologies into core business operations
- Manage innovation incubators for prototyping next-gen digital products and services
- Establish strategic partnerships with tech startups, research institutions, and industry consortiums
- Analyze global tech policy implications and recommend adaptive compliance frameworks
- Mentor cross-functional teams in agile implementation of futuristic technologies
Qualifications
- Master's degree in Computer Science, Engineering, or related field (PhD preferred)
- Minimum 8 years in strategic technology leadership with proven 2026-tech implementation experience
- Expertise in quantum computing, generative AI, and sustainable technology ecosystems
- Strong background in developing technology roadmaps with 5+ year strategic horizons
- Experience managing R&D budgets exceeding $10M and cross-functional teams of 50+
- Published thought leadership in emerging technologies (IEEE, ACM, or equivalent)
- Certification in emerging tech domains (e.g., Quantum Computing, AI Ethics)
- Deep understanding of global tech policy and regulatory landscapes