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Information Technology 🏢 Full Time ⭐️ Verified

2026 Futurist Strategist

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

Job Description

Join Horizon Dynamics as a 2026 Futurist Strategist and architect the next frontier of human progress. We're seeking visionary thinkers to decode emerging trends, disrupt industries, and shape the roadmap for 2026 and beyond. This role blends cutting-edge research with strategic foresight to position our clients as industry pioneers in an era of exponential transformation.

You'll lead cross-functional teams in developing actionable frameworks for quantum computing integration, sustainable tech adoption, and AI-human symbiosis. Our culture values intellectual courage, collaborative innovation, and relentless curiosity. If you thrive at the intersection of technology, sociology, and business strategy, this is your moment to define tomorrow.

Responsibilities

  • Develop predictive models for 2026 technology adoption curves across key industries
  • Lead scenario-planning workshops for C-suite executives on disruptive innovations
  • Produce annual Horizon Scan reports identifying paradigm-shifting opportunities
  • Design ethical frameworks for next-gen AI and biotechnology integration
  • Collaborate with R&D teams to prototype future-state business ecosystems
  • Present strategic recommendations at global innovation forums

Qualifications

  • Master's degree in Futuristics, Systems Thinking, or related field
  • 5+ years in strategic foresight, innovation consulting, or tech strategy
  • Deep expertise in quantum computing, climate tech, or neuro-interfaces
  • Published thought leadership on emerging societal trends
  • Proficiency in futures research methodologies (Delphi, Horizon Scanning)
  • Experience with cross-cultural scenario planning in global markets

Required Skills

strategic foresight scenario planning quantum computing AI ethics trend analysis innovation strategy systems thinking predictive modeling

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