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Information Technology 🏢 Full Time ⭐️ Verified

Future Technology Strategist

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

Job Description

Join InnovateNext Labs at the forefront of technological evolution as we pioneer solutions for 2026 and beyond. We're seeking a visionary Future Technology Strategist to architect our next-gen digital ecosystem. This role requires blending cutting-edge AI, quantum computing insights, and sustainable tech practices to transform industries. You'll collaborate with elite teams in our state-of-the-art San Francisco hub, driving initiatives that will redefine human-machine interaction. If you thrive at the intersection of innovation and practical implementation, this is your opportunity to shape tomorrow's reality today.

Responsibilities

  • Develop 2026+ technology roadmaps integrating AI, blockchain, and quantum computing paradigms
  • Lead cross-functional teams in prototyping next-gen digital solutions for enterprise clients
  • Conduct horizon scanning for emerging technologies with 3-5 year adoption timelines
  • Design sustainable tech frameworks balancing innovation with environmental impact
  • Present strategic blueprints to C-suite executives and venture capital partners
  • Establish KPIs for measuring technology adoption ROI in future markets
  • Author thought leadership publications on technology evolution trends

Qualifications

  • 10+ years in technology strategy with 5+ years in future-tech planning
  • Expertise in AI/ML implementation and quantum computing principles
  • Proven track record of scaling tech ventures to $50M+ ARR
  • Published research in IEEE or ACM journals on emerging technologies
  • Certification in Technology Foresight (e.g., APF or Foresight Practitioner)
  • Experience with ESG-compliant tech architecture frameworks
  • Strong network with Silicon Valley VCs and academic R&D centers

Required Skills

AI Strategy Quantum Computing Technology Foresight Sustainable Tech Enterprise Architecture Venture Capital Relations Blockchain Machine Learning

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