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Future Technology Strategist

Innovate Tomorrow Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

Join Innovate Tomorrow Labs at the forefront of technological evolution. As a Future Technology Strategist, you'll architect solutions for 2026 and beyond, shaping how humanity interacts with emerging technologies. We're seeking a visionary leader to bridge the gap between today's innovations and tomorrow's realities.

At our San Francisco headquarters, you'll collaborate with world-class engineers, data scientists, and futurists to develop roadmaps for AI integration, quantum computing applications, and sustainable tech ecosystems. This role offers unparalleled opportunity to influence the next wave of digital transformation while working in a culture that celebrates bold thinking.

Responsibilities

  • Develop 2026+ technology roadmaps aligning with market trends and organizational goals
  • Lead cross-functional teams in prototyping next-gen solutions (AI, quantum, biotech)
  • Analyze emerging technologies for commercial viability and ethical implications
  • Present strategic insights to C-suite executives and industry stakeholders
  • Drive innovation through competitive analysis and patent strategy development
  • Mentor junior strategists in future-thinking methodologies
  • Secure partnerships with academic institutions and research labs

Qualifications

  • 10+ years in technology strategy or R&D leadership
  • Proven track record in emerging tech commercialization
  • Expertise in at least two of: AI/ML, quantum computing, AR/VR, or synthetic biology
  • Strong background in ethical technology frameworks and policy development
  • Advanced degree in Computer Science, Engineering, or related field
  • Exceptional analytical skills with ability to forecast market disruptions
  • Experience securing $5M+ in innovation funding or grants
  • Published thought leadership in tech futurism (papers, patents, or keynotes)

Required Skills

Strategy AI Quantum Computing Futurism R&D Innovation Management Ethics Data Science

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