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Future Technology Strategist 2026

InnovateNext Labs
San Francisco
Estimated Salary
USD 150.000 – USD 200.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Join InnovateNext Labs at the forefront of technological evolution as we shape the digital landscape of 2026. We seek a visionary Future Technology Strategist to architect next-gen solutions that redefine industries. This role demands a blend of cutting-edge technical expertise and forward-thinking business acumen to drive innovation in an era of unprecedented change.

Our ideal candidate thrives in ambiguity, anticipates market shifts 3-5 years ahead, and translates complex technological possibilities into actionable roadmaps. You'll collaborate with C-suite executives, lead cross-functional R&D initiatives, and influence product development for markets that don't yet exist.

Responsibilities

  • Develop and execute 5-year technology roadmaps for emerging domains (quantum computing, neuromorphic AI, biotech convergence)
  • Lead scenario planning for disruptive technologies and their socioeconomic impacts
  • Architect scalable frameworks for autonomous system integration across industries
  • Drive innovation sprints with Fortune 500 partners to prototype 2026-viable solutions
  • Establish ethical governance protocols for next-generation AI and biometric systems
  • Pioneer human-computer interaction paradigms for immersive metaverse ecosystems

Qualifications

  • 10+ years in technology strategy with proven experience in emerging tech ecosystems
  • Expertise in at least three of: quantum computing, synthetic biology, advanced AI, or spatial computing
  • Published thought leadership in future tech trends (IEEE, ACM, or equivalent)
  • Experience leading cross-continental R&D teams in agile environments
  • MSc/PhD in Computer Science, Engineering, or related quantitative field
  • Proficiency in futures forecasting methodologies (Delphi, Horizon Scanning)
  • Portfolio showcasing technology commercialization for 2025+ markets

Required Skills

Quantum Computing AI Ethics Futures Forecasting Neuromorphic Engineering Metaverse Architecture Synthetic Biology Agile Leadership

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