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Future Tech Strategist

InnovateForward Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Join InnovateForward Labs as we pioneer the next generation of technological breakthroughs. We're seeking a visionary Future Tech Strategist to lead our 2026 roadmap, shaping how humanity interacts with emerging technologies. This role blends cutting-edge research with practical implementation, requiring both analytical rigor and creative foresight.

Our ideal candidate thrives at the intersection of AI, biotech, and sustainable innovation. You'll collaborate with Nobel laureates and startup founders alike, translating scientific potential into market-ready solutions. If you're passionate about building the future and possess an unshakeable curiosity, this is your calling.

Responsibilities

  • Develop and execute technology roadmaps targeting 2026 market readiness
  • Analyze emerging tech trends (quantum computing, neural interfaces, synthetic biology)
  • Lead cross-functional teams in prototype development and validation
  • Secure strategic partnerships with research institutions and Fortune 500 companies
  • Present findings to C-suite executives and external investors
  • Drive innovation sprints focused on 5-10 year technological horizons
  • Monitor global policy shifts affecting tech adoption and regulation

Qualifications

  • Master's degree in Computer Science, Engineering, or related field (PhD preferred)
  • 8+ years in technology strategy or R&D leadership
  • Deep expertise in at least two emerging tech domains
  • Proven track record of launching commercialized innovations
  • Exceptional data modeling and scenario planning capabilities
  • Experience securing $10M+ in R&D funding
  • Published research in peer-reviewed scientific journals
  • Fluency in Mandarin or Japanese (for Asian market expansion)

Required Skills

strategic planning emerging technologies R&D management data analysis innovation leadership futures forecasting quantum computing synthetic biology

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