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Information Technology 🏢 Full Time ⭐️ Verified

Future Technology Strategist

Nexus 2026 Labs
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Join Nexus 2026 Labs at the forefront of technological evolution! We're seeking a visionary Future Technology Strategist to architect our innovation roadmap for 2026 and beyond. Shape how humanity interacts with emerging technologies while leading groundbreaking projects that redefine industries.

As a key member of our R&D division, you'll collaborate with quantum computing experts, AI pioneers, and biotech innovators to develop scalable solutions for tomorrow's challenges. This role offers unparalleled opportunities to influence global tech policy and drive commercialization of next-generation innovations.

Responsibilities

  • Develop 5-year strategic technology roadmaps aligned with market disruption forecasts
  • Lead cross-functional teams in prototyping quantum-AI hybrid systems
  • Conduct scenario planning for climate tech and sustainable infrastructure solutions
  • Forge partnerships with academic institutions and government innovation labs
  • Translate complex technical concepts into investor-ready commercial frameworks
  • Drive ethical AI governance frameworks for autonomous systems
  • Present strategic insights to C-suite executives and board members

Qualifications

  • 10+ years in technology strategy or R&D leadership roles
  • Expertise in emerging tech: quantum computing, synthetic biology, or neuromorphic AI
  • Proven track record of launching commercialized tech innovations
  • Advanced degree in Computer Science, Engineering, or related field
  • Certification in Technology Foresight or Strategic Innovation Management
  • Experience securing $5M+ in R&D funding or government grants
  • Deep understanding of global tech policy landscapes and regulatory frameworks

Required Skills

Strategic Planning Emerging Technologies Innovation Management Quantum Computing AI Ethics Futurism Data Science Leadership

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