Job Description
Join InnovateNext Labs as a visionary 2026 Strategic Technology Futurist and shape the technological landscape of tomorrow. We're seeking a forward-thinking leader to architect our innovation roadmap for 2026, bridging emerging technologies with market disruption. In this pivotal role, you'll lead cross-functional teams to identify paradigm-shifting opportunities, develop long-term strategic frameworks, and position our organization at the vanguard of technological evolution.
Our Austin-based headquarters thrives on cutting-edge research and collaborative disruption. You'll work alongside Nobel laureates and industry pioneers to transform theoretical possibilities into market-defining solutions. This role offers unparalleled influence in shaping how humanity interacts with technology in the coming decade.
Responsibilities
- Architect 2026 technology strategy by analyzing emerging trends in AI, quantum computing, and biotechnology
- Lead cross-functional innovation sprints to develop prototypical solutions for 2026 market needs
- Establish strategic partnerships with academic institutions and government labs for R&D collaboration
- Present visionary frameworks to C-suite executives and board members for resource allocation decisions
- Develop patent portfolios protecting proprietary 2026 technology implementations
- Mentor next-generation futurists through our Innovation Accelerator program
- Author annual 'Tech Horizons 2026' industry forecast report
Qualifications
- 15+ years in strategic technology planning with demonstrable impact on multi-year roadmaps
- PhD in Computer Science, Engineering, or related quantitative field from Tier 1 institution
- Published research in Nature/Science or equivalent tier-1 journals on future technologies
- Proven track record of commercializing emerging technologies (minimum 3 exits >$100M)
- Expertise in scenario planning and technological forecasting methodologies
- Deep understanding of global policy frameworks governing emerging tech (AI ethics, quantum governance)
- Fluency in at least two programming languages (Python, R, or equivalent) for trend modeling
- Experience leading teams of 15+ technical professionals across multiple disciplines