Job Description
Join InnovateNext Corp at the forefront of technological evolution as we shape the digital landscape of 2026. We seek a visionary Future Technology Strategist to architect our next-generation innovation roadmap and drive transformative projects across emerging tech domains. This pivotal role demands a blend of strategic foresight, technical acumen, and business leadership to position us as industry leaders in the rapidly evolving tech ecosystem.
Located in our vibrant San Francisco headquarters, you'll collaborate with C-suite executives, R&D teams, and global partners to identify disruptive opportunities and translate futuristic concepts into scalable solutions. Our culture thrives on bold ideas, cross-functional synergy, and relentless innovation—perfect for a forward-thinking professional ready to define tomorrow's tech paradigms.
Responsibilities
- Develop and execute 5-year technology roadmaps aligned with market trends and business objectives
- Lead cross-functional teams in prototyping and implementing cutting-edge solutions (AI, quantum computing, biotech)
- Conduct horizon scanning to identify emerging technologies with disruptive potential
- Partner with product teams to integrate futuristic innovations into commercial offerings
- Present strategic recommendations to stakeholders and secure executive buy-in
- Manage R&D partnerships with academic institutions and tech incubators
- Analyze competitive landscapes to anticipate tech disruptions and opportunities
Qualifications
- 10+ years in technology strategy, innovation management, or R&D leadership
- Proven track record in emerging tech domains (AI/ML, IoT, AR/VR, blockchain)
- Advanced degree in Computer Science, Engineering, or related field
- Exceptional strategic planning and business acumen
- Strong stakeholder management and executive communication skills
- Experience with agile methodologies and cross-functional team leadership
- Deep understanding of global tech trends and regulatory landscapes
- Certifications in emerging technologies (e.g., AWS Certified Machine Learning, Google AI)