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Future Technology Strategist

Nexus Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

Join Nexus Innovations as a Future Technology Strategist and architect the technological landscape of tomorrow. We're seeking visionary leaders to drive innovation at the intersection of AI, quantum computing, and sustainable tech. As a key member of our R&D division, you'll shape product roadmaps that redefine industry standards while collaborating with Nobel laureates and Silicon Valley pioneers. Enjoy unparalleled resources, flexible work arrangements, and the opportunity to patent breakthrough technologies that impact billions.

Why Nexus Innovations?
• Industry-leading R&D budget ($500M+ annually)
• Equity grants and performance bonuses
• Cutting-edge labs in San Francisco and Zurich
• Tuition reimbursement for advanced degrees

Responsibilities

  • Develop 5-10 year technology roadmaps for quantum AI and biotech integration
  • Lead cross-functional teams of engineers, data scientists, and domain experts
  • Identify emerging tech trends through patent analysis and academic partnerships
  • Secure $50M+ in R&D funding through federal grants and corporate partnerships
  • Present strategic vision to C-suite and board of directors quarterly
  • Mentor junior strategists and publish white papers in IEEE journals
  • Oversee prototype development for next-gen human-computer interfaces

Qualifications

  • 15+ years in technology strategy with 5+ years in quantum/AI domains
  • PhD in Computer Science, Engineering, or related field (or equivalent experience)
  • Track record of launching products with >$100M ARR
  • Expertise in technology forecasting and competitive landscape mapping
  • Active patents or peer-reviewed publications in emerging tech
  • Experience securing government SBIR/STTR grants
  • Proficiency in Python, TensorFlow, and quantum computing frameworks
  • Strong network with academic institutions and VCs

Required Skills

Strategic Planning AI Quantum Computing Technology Forecasting R&D Management Patent Strategy Data Science Machine Learning

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