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Future Technology Strategist 2026

InnovateNext Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Join InnovateNext Labs at the forefront of tomorrow's technological revolution. We're seeking a visionary Future Technology Strategist to architect our 2026 innovation roadmap, shaping how emerging technologies will transform industries and society. This role bridges cutting-edge research with practical business applications in an agile, impact-driven environment.

Responsibilities

  • Lead strategic foresight initiatives to identify and prioritize emerging technologies (AI, quantum computing, biotech) for 2026 market readiness
  • Develop cross-functional innovation roadmaps aligned with long-term business objectives and societal impact
  • Conduct horizon scanning and trend analysis to anticipate technological disruptions
  • Collaborate with R&D teams to prototype and validate future technology solutions
  • Present strategic recommendations to C-suite executives and external stakeholders
  • Manage $5M+ innovation portfolio with ROI-focused resource allocation
  • Drive thought leadership through white papers, industry panels, and partnership development

Qualifications

  • 10+ years in technology strategy, innovation management, or R&D leadership
  • Proven track record of launching commercialized tech products/services
  • Deep expertise in emerging technologies (AI/ML, Web3, AR/VR, synthetic biology)
  • Experience with scenario planning and strategic foresight methodologies
  • Strong quantitative and qualitative analytical skills with data-driven decision making
  • Exceptional communication skills for executive and technical audiences
  • Advanced degree in Computer Science, Engineering, Business, or related field
  • Published thought leadership in technology or innovation domains

Required Skills

Strategic Planning Innovation Management Emerging Technologies Foresight Analysis Product Development AI/ML Quantum Computing Biotech R&D Leadership Data-Driven Decision Making

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