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Future Technologies Strategist 2026

InnovateFuture Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

InnovateFuture Labs is pioneering the next wave of technological advancement. We're seeking a visionary Future Technologies Strategist to architect our 2026 roadmap and position us at the forefront of AI, quantum computing, and sustainable innovation.

Join our elite team of futurists in transforming theoretical breakthroughs into market-disrupting solutions. You'll collaborate with Nobel laureates and industry pioneers while shaping the technologies that will define the next decade.

We offer competitive compensation, unlimited PTO, cutting-edge R&D resources, and equity in a company valued at $2B+. Your work will directly impact billions of lives through climate-positive technology and ethical AI frameworks.

Responsibilities

  • Develop and implement 2026 technology roadmaps for quantum AI integration and carbon-negative systems
  • Lead cross-functional R&D initiatives with MIT/Stanford partnerships
  • Forecast emerging tech disruptions and create mitigation/adaptation strategies
  • Present quarterly technology briefings to C-suite and board members
  • Manage $10M+ innovation budgets for experimental projects
  • Establish ethical AI governance frameworks aligned with UN SDGs
  • Collaborate with patent attorneys to secure 50+ IP assets annually

Qualifications

  • PhD in Computer Science, Quantum Physics, or Sustainable Engineering
  • 8+ years in technology strategy at FAANG or quantum computing firms
  • Published research in Nature/Science on emerging technologies
  • Proven track record scaling AI systems to 10M+ user bases
  • Expertise in climate-positive tech and circular economy models
  • Certified in Ethical AI Governance (EAGI) and Quantum Architecture
  • Experience securing Series B+ funding for deep tech ventures

Required Skills

Quantum Computing AI Ethics Futurism Strategic Planning R&D Management Climate Tech Patent Law Machine Learning

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