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Information Technology 🏢 Full Time ⭐️ Verified

AI Futurist Strategist

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

Job Description

Join Horizon Labs at the forefront of technological evolution as we pioneer solutions for 2026 and beyond. We seek an AI Futurist Strategist to decode emerging trends, design adaptive frameworks, and shape our innovation roadmap. This role blends cutting-edge AI research with strategic foresight to transform industries.

As a key member of our Future Intelligence Division, you'll collaborate with quantum computing experts, neuroscientists, and sustainable tech pioneers. We offer competitive equity packages, unlimited learning stipends, and a hybrid work model with our state-of-the-art Bay Area campus.

Responsibilities

  • Analyze AI convergence patterns with biotech, climate tech, and space exploration sectors
  • Develop predictive models for 2026 workforce automation impacts
  • Design ethical AI governance frameworks for next-gen neural interfaces
  • Lead cross-functional workshops on human-AI symbiosis strategies
  • Produce white papers on quantum-resistant cryptography implementations
  • Partner with venture capital arms to identify 2026 market disruptors
  • Architect adaptive learning systems for rapid skill evolution

Qualifications

  • PhD in AI, Cognitive Science, or related field with 5+ years applied research
  • Published work on AGI safety frameworks or neural-symbolic integration
  • Expertise in forecasting methodologies (Delphi, scenario planning)
  • Proficiency in Python, TensorFlow, and causal inference tools
  • Experience with quantum computing APIs or neuromorphic hardware
  • Track record of influencing tech policy at national level
  • Certification in AI ethics (IEEE, ACM, or equivalent)
  • Portfolio demonstrating 2026+ technology impact predictions

Required Skills

AI Strategy Futurism Quantum Computing Neural Interfaces Causal Inference Policy Influence Ethics Frameworks Predictive Modeling

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