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Strategy 🏢 Full Time ⭐️ Verified

Futurist Innovation Strategist

Horizon Labs
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Join Horizon Labs at the forefront of tomorrow's innovation. We're seeking a visionary Futurist Innovation Strategist to architect transformative solutions for 2026 and beyond. This pivotal role blends cutting-edge foresight with actionable strategy, shaping how businesses navigate the next technological revolution. You'll collaborate with C-suite executives to decode emerging trends, design resilient roadmaps, and drive exponential growth in AI, quantum computing, and sustainable tech ecosystems.

Responsibilities

  • Develop 2026+ innovation roadmaps by synthesizing global tech trends, market shifts, and societal disruptions
  • Lead cross-functional workshops to identify exponential opportunities in quantum AI and biotech convergence
  • Author predictive briefings on metaverse economics and decentralized governance frameworks
  • Design scenario-planning models for climate-resilient supply chains and circular economy transitions
  • Partner with product teams to integrate foresight into R&D pipelines and go-to-market strategies
  • Present strategic recommendations to executive stakeholders and board members

Qualifications

  • 8+ years in strategic foresight, innovation consulting, or future studies
  • Proven expertise in exponential technologies (AI, quantum, synthetic biology)
  • Advanced certification in futures methodologies (e.g., CFPC, Foresight Practitioner)
  • Portfolio demonstrating 3+ horizon-scanning projects with measurable impact
  • Deep understanding of geopolitical and ethical implications of emerging tech
  • Exceptional storytelling skills for communicating complex future scenarios
  • MSc/PhD in Futures Studies, Systems Thinking, or related field preferred

Required Skills

Foresight Methodology Scenario Planning Exponential Technologies Strategic Innovation Trend Analysis Quantum Computing AI Ethics Systems Thinking

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