Job Description
Join InnovateNext Labs at the forefront of technological evolution. We're seeking a visionary Future Technology Strategist to architect our roadmap for 2026 and beyond. This role demands a blend of technical acumen, market foresight, and executive leadership to transform emerging innovations into industry-defining solutions. You'll collaborate with C-suite executives to shape our technology ecosystem, ensuring we stay ahead of disruption while driving sustainable growth. Our San Francisco headquarters offers an unparalleled environment for innovation, with cutting-edge labs and a team of world-class pioneers.
What you'll achieve: Lead cross-functional teams in developing next-gen technology frameworks, identify billion-dollar market opportunities through AI-driven trend analysis, and represent our vision at global tech summits. We provide competitive equity packages, unlimited learning stipends, and the autonomy to build the future—starting today.
Responsibilities
- Architect 5-year technology roadmaps aligned with market disruption forecasts
- Lead cross-functional innovation sprints integrating AI, quantum computing, and biotech
- Conduct competitive intelligence on emerging technologies (Web4, AGI, decentralized systems)
- Develop patent-worthy frameworks for sustainable tech implementation
- Present strategic roadmaps to investors and board members
- Mentor R&D teams in rapid prototyping and hypothesis testing
- Establish KPIs for technology adoption ROI and market penetration
- Forge strategic partnerships with leading research institutions
Qualifications
- Master's degree in Computer Science, Engineering, or Business with 8+ years tech strategy experience
- Proven track record launching enterprise-scale future-tech initiatives (AI/ML, blockchain, AR/VR)
- Certified in emerging technology frameworks (e.g., Gartner Hype Cycle, Forrester Wave)
- Expertise in scenario planning and disruption modeling methodologies
- Executive-level experience with $50M+ technology portfolios
- Published thought leadership in top-tier tech journals (IEEE, ACM)
- Fluency in at least two programming languages (Python preferred)
- Portfolio demonstrating technology forecasting accuracy (min 3 successful predictions)