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Information Technology 🏢 Full Time ⭐️ Verified

Senior Futurist - 2026 Visionary

Horizon Labs Inc.
San Francisco
Estimated Salary
USD 180.000 – USD 220.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Join Horizon Labs as a Senior Futurist and architect the technological landscape of 2026. We're seeking a visionary leader to decode emerging trends, disrupt industries, and shape tomorrow's innovations today. This role sits at the intersection of AI, biotechnology, and sustainable development, requiring you to anticipate paradigm shifts before they happen.

Our ideal candidate thrives in ambiguity, synthesizes complex data into actionable strategies, and collaborates with Fortune 500 clients to future-proof their organizations. You'll lead cross-disciplinary teams, develop long-term roadmaps, and publish thought leadership that redefines industry standards.

Responsibilities

  • Anticipate and analyze emerging technologies with 3-5 year horizon impact assessment
  • Develop scenario-planning frameworks for 2026 market disruptions
  • Lead client workshops on exponential technology adoption strategies
  • Produce quarterly trend reports on AI, quantum computing, and synthetic biology
  • Design innovation pipelines for sustainable development goals
  • Mentor junior futurists in predictive modeling methodologies
  • Collaborate with R&D teams to prototype 2026-viable solutions

Qualifications

  • 10+ years in strategic foresight, innovation consulting, or R&D leadership
  • Published thought leadership on future technologies (IEEE, HBR, etc.)
  • Expertise in horizon scanning, trend analysis, and scenario planning
  • Advanced degree in Futures Studies, Systems Engineering, or related field
  • Proficiency in AI-driven forecasting tools and data visualization
  • Experience advising C-suite executives on technology disruption
  • Portfolio demonstrating 5+ successful future-state implementations

Required Skills

Futurism Strategic Planning Technology Trends Innovation Management AI Forecasting Scenario Planning Systems Thinking Data Synthesis

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