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Information Technology 🏢 Full Time ⭐️ Verified

2026 Technology Visionary Strategist

InnovateNext Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
25 Mei 2026
Deadline
25 Mei 2027

Job Description

Join InnovateNext Labs as we architect the technological landscape of 2026 and beyond. We seek a visionary strategist to lead our R&D initiatives in quantum computing, AI ethics, and sustainable tech infrastructure. This role combines deep technical expertise with forward-thinking business strategy to shape products that will define the next decade.

Our team operates at the intersection of breakthrough research and market disruption. You'll collaborate with Nobel laureates, startup founders, and global policymakers to translate emerging technologies into scalable solutions. If you thrive at the bleeding edge of innovation and want to build the future, this is your calling.

Responsibilities

  • Develop 5-year technology roadmaps aligning with global market trends and regulatory landscapes
  • Lead cross-functional teams in prototyping next-gen AI systems with embedded ethical frameworks
  • Forge strategic partnerships with academic institutions and government agencies for 2026 tech standards
  • Conduct scenario planning for quantum computing adoption in critical infrastructure
  • Drive innovation sprints focused on carbon-negative technology solutions
  • Present strategic briefings to C-suite executives and board members
  • Mentor junior researchers in emerging technology commercialization

Qualifications

  • 15+ years in technology strategy with 5+ years in emerging tech leadership
  • PhD or equivalent in Computer Science, Engineering, or Futurology
  • Published research in quantum algorithms, neuromorphic computing, or climate tech
  • Proven track record scaling R&D teams to $50M+ budgets
  • Deep understanding of global tech policy frameworks (e.g., EU AI Act, US CHIPS Act)
  • Experience with scenario planning tools (e.g., Delphi method, causal layered analysis)
  • Certification in AI governance (e.g., Stanford HAI or MIT CSAIL programs)

Required Skills

Technology Strategy Quantum Computing AI Ethics Futurology Scenario Planning R&D Leadership Tech Policy Carbon Innovation

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