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Information Technology 🏢 Full Time ⭐️ Verified

Future Technology Strategist

InnovateNext Labs
San Francisco
Estimated Salary
USD 180.000 – USD 220.000
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Join InnovateNext Labs at the forefront of technological evolution as we shape the digital landscape of 2026. We're seeking a visionary Future Technology Strategist to architect next-gen solutions for emerging industries. This role blends cutting-edge research with practical implementation, requiring a blend of analytical prowess and creative innovation. You'll collaborate with cross-functional teams to develop roadmaps for AI integration, quantum computing applications, and sustainable tech ecosystems. Our startup culture offers unparalleled autonomy and the opportunity to impact billions of lives through technological advancement.

Responsibilities

  • Develop 5-year technology roadmaps aligning with market trends and business objectives
  • Lead R&D initiatives in quantum computing, AI ethics, and biotech convergence
  • Establish strategic partnerships with academic institutions and industry pioneers
  • Conduct scenario planning for technological disruptions and regulatory shifts
  • Present findings to executive stakeholders and investor boards
  • Mentor junior researchers on emerging technology frameworks
  • Oversee prototyping of futuristic solutions in our innovation lab

Qualifications

  • Master's degree in Computer Science, Engineering, or related field
  • 8+ years in strategic technology planning or R&D leadership
  • Deep expertise in at least two emerging tech domains (AI, quantum, blockchain, etc.)
  • Proven track record of scaling technology initiatives from concept to market
  • Certification in futures thinking or technology forecasting preferred
  • Experience securing $5M+ in R&D funding or venture capital
  • Published research in IEEE or Nature Technology journals
  • Fluency in Python, TensorFlow, and data modeling tools

Required Skills

Strategic Planning AI/ML Quantum Computing R&D Management Futures Forecasting Biotech Convergence Ethics Governance Data Modeling

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