Job Description
Join Innovate Forward Inc., a pioneer in next-generation solutions, as we shape the technological landscape of 2026. We seek a visionary Future Tech Strategist to architect our roadmap for quantum computing, AI ethics, and sustainable tech integration. This role sits at the intersection of innovation and business impact, where you'll translate cutting-edge research into actionable strategies that redefine industries.
Our San Francisco hub offers a dynamic environment where your expertise will directly influence product development, investment decisions, and corporate foresight. Collaborate with world-class engineers, data scientists, and futurists to build the technologies that will define the next decade.
Responsibilities
- Develop 5-year technology roadmaps aligning with global market trends and regulatory shifts
- Lead cross-functional teams in prototyping and scaling emerging technologies (quantum, neuromorphic computing, etc.)
- Conduct horizon scanning to identify disruptive technologies with commercial viability
- Partner with C-suite executives to integrate future-tech strategies into corporate vision
- Author thought leadership publications and whitepapers positioning our brand as an industry authority
- Manage innovation incubators for breakthrough technologies with societal impact
- Analyze geopolitical and ethical implications of emerging tech deployments
Qualifications
- 10+ years in strategic technology planning with 5+ years in emerging tech domains
- Proven track record of launching quantum/AI/blockchain initiatives at scale
- Advanced degree in Computer Science, Engineering, or Futurist Studies
- Deep expertise in technology forecasting methodologies (Delphi, scenario planning)
- Certification in AI Ethics or Quantum Computing from accredited institutions
- Experience leading teams in Fortune 500 or Silicon Valley innovation labs
- Published author in tech journals or frequent keynote speaker at global conferences
- Proficiency in data visualization tools (Tableau, Power BI) for trend analysis