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Future Technology Strategist

InnovateNext Labs
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Join InnovateNext Labs at the forefront of technological evolution! We're seeking a visionary Future Technology Strategist to architect the next wave of innovations that will redefine industries by 2026. This role blends cutting-edge research with practical implementation, requiring you to anticipate paradigm shifts in AI, quantum computing, and biotechnology. You'll collaborate with world-class researchers to develop roadmaps that transform abstract concepts into market-ready solutions, driving our mission to create a smarter, more sustainable future.

Responsibilities

  • Design and implement 5-year technology roadmaps aligned with market trends and organizational goals
  • Lead cross-functional teams in prototyping emerging technologies (AI, quantum, blockchain)
  • Analyze competitive landscapes and regulatory impacts on future tech adoption
  • Develop strategic partnerships with research institutions and industry pioneers
  • Present technology forecasts and recommendations to C-suite executives and investors
  • Drive innovation sprints focused on solving 2026-era challenges
  • Maintain thought leadership through whitepapers and industry conference speaking

Qualifications

  • 10+ years in technology strategy or R&D leadership with proven impact on future-focused initiatives
  • Deep expertise in at least two emerging tech domains (AI/ML, quantum computing, or synthetic biology)
  • Track record of translating complex concepts into executable business strategies
  • Advanced degree in Computer Science, Engineering, or related field
  • Exceptional data modeling and scenario planning capabilities
  • Certification in technology foresight or innovation management preferred
  • Experience securing $5M+ R&D budgets for experimental projects
  • Portfolio demonstrating 3+ technologies brought to market within 5-year cycles

Required Skills

Technology Strategy Innovation Management AI/ML Quantum Computing Foresight Methodology Roadmapping R&D Leadership Data Science

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