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2026 Futurist Lead - San Francisco

QuantumLeap Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Join QuantumLeap Dynamics at the forefront of technological evolution as we pioneer solutions for 2026 and beyond. As a 2026 Futurist Lead, you'll architect next-gen frameworks that redefine human-machine interaction. We're seeking a visionary who thrives at the intersection of AI ethics, quantum computing, and sustainable innovation. Your work will directly shape our product roadmap while mentoring a cross-disciplinary team of engineers, designers, and strategists. This is your chance to build the future in one of tech's most dynamic ecosystems.

Responsibilities

  • Lead R&D initiatives for 2026-era AI and quantum computing applications
  • Develop ethical frameworks for autonomous systems and human augmentation technologies
  • Collaborate with product teams to integrate future-ready features into commercial products
  • Mentor cross-functional teams in emerging tech methodologies and foresight strategies
  • Present industry-shaping research at global tech conferences and publish white papers
  • Drive partnerships with academic institutions and government innovation labs
  • Monitor geopolitical and societal trends to inform long-term technology roadmaps

Qualifications

  • 10+ years in tech leadership with proven experience in AI/quantum development
  • Published research in top-tier journals (e.g., Nature AI, IEEE Quantum)
  • Expertise in ethical AI governance frameworks (e.g., EU AI Act, NIST RMF)
  • Strong background in systems architecture for distributed quantum networks
  • Experience with scenario planning and technology forecasting methodologies
  • PhD in Computer Science, Physics, or related field preferred
  • Track record of commercializing futuristic technologies (3+ products)
  • Fluency in Python, TensorFlow, and quantum programming languages (e.g., Q#)

Required Skills

AI Ethics Quantum Computing Technology Forecasting Systems Architecture Ethical AI Governance Distributed Networks Scenario Planning TensorFlow Q# Python

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