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Future Technology Strategist 2026

InnovateNext Labs
San Francisco
Estimated Salary
USD 130.000 – USD 180.000
Live Update
22 Mei 2026
Deadline
22 Mei 2027

Job Description

Join InnovateNext Labs at the forefront of technological evolution as we redefine industries for 2026. We're seeking a visionary Future Technology Strategist to architect our next-generation digital ecosystem. This role combines cutting-edge AI, quantum computing, and sustainable tech innovation to shape how businesses operate in the coming decade.

You'll collaborate with C-suite executives, lead cross-functional innovation sprints, and develop roadmaps that position us as industry pioneers. If you thrive at the intersection of emerging technologies and market disruption, this is your chance to build tomorrow's solutions today.

Responsibilities

  • Develop 2026+ technology roadmaps integrating AI, quantum computing, and biotech convergence
  • Lead strategic partnerships with Silicon Valley and global tech innovators
  • Conduct market analysis for emerging tech adoption in finance, healthcare, and logistics
  • Present disruption forecasts to executive stakeholders and investors
  • Manage $5M+ innovation budgets for pilot programs
  • Mentor cross-functional teams in agile methodologies for rapid prototyping
  • Author whitepapers on sustainable tech adoption strategies

Qualifications

  • 10+ years in tech strategy with 5+ in emerging technologies (AI/quantum/biotech)
  • Proven track record of scaling tech initiatives to $100M+ revenue impact
  • Advanced degree in Computer Science, Engineering, or Business Strategy
  • Expertise in scenario planning and technology forecasting frameworks
  • Strong network within Silicon Valley VCs and Fortune 500 innovation teams
  • Certifications in Agile, Cloud Architecture (AWS/GCP), or Data Science
  • Published thought leadership in tech journals or industry conferences

Required Skills

AI Strategy Quantum Computing Biotechnology Convergence Scenario Planning Agile Methodology Cloud Architecture Data Science Market Disruption Analysis

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