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Future Technology Strategist

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

Job Description

Join InnovateTomorrow Labs at the forefront of technological evolution. We seek a visionary Future Technology Strategist to architect our 2026 roadmap and beyond. This pivotal role requires a blend of technical acumen, market foresight, and innovation leadership to shape products that will define the next decade.

Our ideal candidate thrives in ambiguity, synthesizes complex trends into actionable strategies, and collaborates with cross-functional teams to transform futuristic concepts into market-ready solutions. You'll work in our state-of-the-art San Francisco hub, surrounded by Nobel laureates and industry pioneers.

Responsibilities

  • Develop and implement 5-year technology roadmaps aligned with emerging trends (quantum computing, AGI, bio-integration)
  • Lead cross-functional innovation sprints with R&D, product, and design teams
  • Analyze market disruption vectors and competitive landscapes for 2026+ opportunities
  • Secure strategic partnerships with academic institutions and tech pioneers
  • Present technology visions to C-suite and board stakeholders
  • Manage $5M+ innovation budget with ROI-focused allocation
  • Mentor junior strategists in futures thinking methodologies

Qualifications

  • 15+ years in technology strategy with 5+ years in foresight/planning roles
  • Proven track record launching products with 5+ year development cycles
  • Expertise in at least two emerging tech domains (quantum, AI, biotech, neuromorphic)
  • Executive presence with board-level presentation experience
  • PhD or equivalent in Computer Science, Engineering, or Futures Studies
  • Published thought leadership in technology journals (Nature, IEEE, etc.)
  • Certification in Strategic Foresight (e.g., CFM, APF)
  • Fluency in Mandarin and/or Japanese for global stakeholder engagement

Required Skills

Strategic Foresight Technology Roadmapping Quantum Computing Artificial General Intelligence Biotechnology Integration Executive Leadership Innovation Management Futures Research

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