Job Description
Join FutureVision Labs at the forefront of technological evolution as we pioneer solutions for 2026 and beyond. We're seeking an innovative Tech Innovation Lead to architect next-generation systems that will redefine industries. This role offers unparalleled opportunity to shape the future of AI, quantum computing, and sustainable tech while working with world-class researchers in our state-of-the-art San Francisco hub.
As a key architect of our 2026 roadmap, you'll drive cross-functional initiatives that transform theoretical possibilities into market-ready innovations. Our dynamic environment combines startup agility with enterprise resources, allowing you to make immediate impact while building long-term legacy projects.
Responsibilities
- Develop and execute 2026 technology roadmaps for AI/ML, quantum computing, and biotech convergence
- Lead cross-functional teams of engineers, researchers, and designers to prototype breakthrough solutions
- Identify emerging tech trends and translate them into actionable innovation strategies
- Secure partnerships with academic institutions and industry leaders for 2026 ecosystem development
- Present innovation frameworks to C-suite executives and external stakeholders
- Mentor junior talent in future-focused methodologies and ethical tech deployment
- Manage R&D budget allocation for experimental technologies with 5+ year impact horizons
Qualifications
- 10+ years in tech innovation with 5+ years in strategic leadership roles
- Proven track record of launching disruptive technologies with 3+ years commercial impact
- Expertise in AI, quantum computing, or biotech convergence domains
- Experience developing 5+ year technology roadmaps for Fortune 500 companies
- Strong network of relationships with tech research institutions and innovation labs
- Published research or patents in emerging technologies (2018-2023)
- Advanced degree in Computer Science, Engineering, or related field
- Proficiency in innovation frameworks like Stage-Gate, Lean Startup, and Design Thinking