Job Description
Join InnovateNext Labs at the forefront of technological evolution as we shape the 2026 digital landscape. We're seeking a visionary Future Technologies Strategist to architect our next-gen innovation roadmap and drive breakthrough solutions that redefine industries. In this pivotal role, you'll identify emerging tech trends, develop strategic frameworks, and lead cross-functional teams to transform visionary concepts into market-leading products.
Our Austin-based headquarters operates at the intersection of quantum computing, AI ethics, and sustainable tech. You'll collaborate with Nobel laureates, patent-holding engineers, and design-thinking pioneers to create solutions that solve humanity's most complex challenges.
Responsibilities
- Develop and execute 2026 technology roadmaps for quantum AI integration and neural interface systems
- Lead market analysis of emerging technologies including post-silicon computing and decentralized AI networks
- Architect strategic partnerships with global research institutions and tech pioneers
- Present technology forecasts and innovation strategies to C-suite executives and board members
- Manage R&D budget allocation for next-gen prototyping and patent development
- Mentor cross-functional teams in agile methodologies for rapid technology validation
- Drive ethical AI frameworks and sustainable tech implementation across product portfolios
Qualifications
- 15+ years in strategic technology planning with proven 2026+ vision implementation
- Advanced degree in Computer Science, Quantum Physics, or related field (PhD preferred)
- Portfolio demonstrating leadership in emerging tech adoption (quantum/AI/blockchain)
- Experience scaling tech innovations from concept to $100M+ market impact
- Deep expertise in ethical AI governance and sustainable technology ecosystems
- Certification in Technology Foresight (e.g., WFS, APF) or equivalent
- Published research in peer-reviewed journals on future technology implications
- Fluency in 3+ programming languages with focus on quantum or neural network architectures