Job Description
Join InnovateNext Labs at the forefront of technological evolution as we shape the future beyond 2026. We're seeking a visionary Future Technology Strategist to architect our next-generation innovation roadmap. This role demands a blend of technical foresight, market acumen, and strategic leadership to position us at the cutting edge of emerging technologies. You'll collaborate with C-suite executives, R&D teams, and global partners to identify paradigm-shifting opportunities that will define the next decade.
Our ideal candidate thrives in ambiguity and possesses an insatiable curiosity about quantum computing, AI ethics, sustainable tech, and human-machine symbiosis. This is a rare opportunity to build the future while enjoying industry-leading compensation, flexible work arrangements, and unparalleled growth potential in one of the world's most dynamic tech ecosystems.
Responsibilities
- Develop and execute a 5-year technology innovation strategy aligned with 2026 market projections
- Lead cross-functional teams in prototyping and validating next-gen solutions
- Analyze emerging tech trends (quantum, bioinformatics, neural interfaces) for commercial viability
- Forge strategic partnerships with academic institutions and tech pioneers
- Present technology roadmaps to stakeholders and secure executive buy-in
- Establish ethical frameworks for responsible AI and autonomous systems
- Manage $5M+ innovation budget with ROI-focused decision making
Qualifications
- 15+ years in strategic technology roles with Fortune 500 or unicorn-scale companies
- Deep expertise in at least two emerging tech domains (quantum, AI, biotech)
- Proven track record of launching market-defining products/services
- Advanced degree in Computer Science, Engineering, or related field
- Exceptional communication skills for executive and technical audiences
- Published thought leadership in top-tier tech publications
- Experience with scenario planning and future-casting methodologies
- Fluency in agile development and rapid prototyping frameworks