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Information Technology 🏢 Full Time ⭐️ Verified

2026 Futurist Strategist

Innovate Tomorrow Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
23 Mei 2026
Deadline
23 Mei 2027

Job Description

Join Innovate Tomorrow Labs as our 2026 Futurist Strategist to architect the next frontier of human-technology symbiosis. We're seeking visionary pioneers to decode emerging trends and design breakthrough solutions that will define the next decade. This role blends deep technical acumen with strategic foresight to shape our innovation roadmap through 2026 and beyond.

You'll collaborate with C-suite executives, lead cross-functional think tanks, and translate complex data into actionable blueprints. If you thrive at the intersection of quantum computing, biotechnology, and AI ethics, and possess an unshakeable passion for shaping tomorrow's reality, this is your calling.

Responsibilities

  • Develop predictive models for 2026 technology adoption across industries
  • Lead horizon-scanning initiatives to identify disruptive innovations
  • Design strategic frameworks for exponential technology integration
  • Present futuristic roadmaps to executive stakeholders and investors
  • Partner with R&D teams to prototype next-gen solutions
  • Author thought leadership publications on 2026 technology trends
  • Organize and facilitate future-focused workshops with industry leaders

Qualifications

  • Advanced degree in Computer Science, Futurology, or related field
  • 5+ years in strategic foresight or technology innovation roles
  • Expertise in exponential technologies (AI, quantum, biotech)
  • Proven track record of developing future-focused roadmaps
  • Exceptional data visualization and scenario planning skills
  • Published thought leadership in tech futurism
  • Experience with Delphi methods and trend analysis frameworks
  • Portfolio demonstrating 5+ technology foresight projects

Required Skills

Strategic Foresight Technology Roadmapping Predictive Analytics Exponential Technologies Scenario Planning AI Ethics Quantum Computing Biotechnology Integration

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