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Future Technology Strategist 2026

InnovateNext Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
16 Mei 2026
Deadline
16 Mei 2027

Job Description

Join InnovateNext Labs at the forefront of technological evolution! We're seeking a visionary Future Technology Strategist to architect our 2026 innovation roadmap and drive disruptive solutions that will redefine industries. This role combines cutting-edge foresight with practical execution, requiring you to anticipate quantum computing breakthroughs, AI ethical frameworks, and sustainable tech paradigms. Collaborate with global R&D teams to prototype next-gen solutions while securing our position as industry pioneers.

Responsibilities

  • Develop and implement a 3-year technology strategy aligning with 2026 market projections and regulatory landscapes
  • Lead cross-functional teams in prototyping quantum-resistant security protocols and neural-augmented interfaces
  • Analyze emerging tech disruptions (AGI, synthetic biology, climate modeling) for commercial opportunities
  • Establish governance frameworks for ethical AI deployment and autonomous system accountability
  • Forge strategic partnerships with academic institutions and policy think tanks shaping 2026 tech standards
  • Present future scenarios to C-suite and investors to secure $50M+ R&D funding allocation

Qualifications

  • 10+ years in strategic technology planning with proven impact on enterprise-scale innovation
  • Expertise in quantum computing, generative AI, or climate tech ecosystems
  • Published thought leadership on future-of-work implications (2025-2030)
  • Certification in Technology Foresight or Futures Studies (e.g., APF, Foresight Practitioner)
  • Experience securing patents for emerging tech (minimum 3 issued patents)
  • Mastery of scenario planning tools and horizon scanning methodologies
  • PhD in Computer Science, Engineering, or Futures Studies preferred

Required Skills

strategic planning quantum computing AI ethics technology forecasting scenario planning R&D management patent law climate tech generative AI neural interfaces

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