Job Description
Shape the future with InnovateX Labs! We're seeking a visionary Future Tech Strategist to lead our 2026 technology roadmap. This pivotal role requires a blend of foresight, technical expertise, and business acumen to identify and capitalize on emerging technologies that will define the next decade.
You'll spearhead cross-functional initiatives to analyze quantum computing, AI ethics, and next-gen digital ecosystems. The ideal candidate thrives at the intersection of innovation and commercialization, translating complex tech trends into actionable strategies that drive market leadership.
Join our elite team of futurists and help build tomorrow's technological landscape today. This hybrid role offers competitive equity, unlimited learning stipends, and the chance to work on projects that will impact billions of lives.
Responsibilities
- Lead research and development of 2026 technology roadmaps across AI, quantum, and biotech domains
- Analyze global tech trends to identify disruptive opportunities and competitive threats
- Collaborate with C-suite executives to align technology strategy with business objectives
- Develop go-to-market strategies for emerging tech products with $10M+ potential
- Present findings to investors, partners, and industry stakeholders at global forums
- Build and lead a cross-functional innovation lab with dedicated R&D resources
- Drive strategic partnerships with leading research institutions and tech pioneers
Qualifications
- 10+ years in technology strategy, product innovation, or emerging tech research
- Deep expertise in at least two of: quantum computing, AI ethics, or neurotech
- Proven track record of launching tech products with $5M+ ARR
- Advanced degree in Computer Science, Engineering, or Business (PhD/MBA preferred)
- Exceptional analytical skills with ability to synthesize complex technical data
- Experience presenting to C-suite executives and investor audiences
- Published thought leadership in tech journals or industry publications
- Fluency in emerging tech frameworks (e.g., NIST AI Risk Management Framework)