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Futurist Strategist

Innovate Tomorrow Inc.
San Francisco
Estimated Salary
USD 150.000 – USD 200.000
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Join Innovate Tomorrow Inc. as a Futurist Strategist to shape the technological landscape of 2026. We're seeking visionary thinkers to decode emerging trends and architect next-gen solutions. This role blends deep technological foresight with strategic business acumen, driving innovation across our AI, biotech, and quantum computing divisions. Collaborate with C-suite executives to future-proof our portfolio while mentoring cross-functional teams. If you thrive at the intersection of imagination and execution, this is your platform to redefine what's possible.

Responsibilities

  • Anticipate and map emerging tech trends (2026 horizon) through quantitative/qualitative research
  • Develop strategic roadmaps integrating AI, blockchain, and neurotech innovations
  • Partner with product teams to incubate moonshot projects with 5-year market impact
  • Lead scenario-planning workshops for global stakeholders across 3 continents
  • Author forward-looking whitepapers published at Davos and TechCrunch Disrupt
  • Mentor junior futurists in trend synthesis and strategic storytelling
  • Secure partnerships with MIT Media Lab and Singularity University

Qualifications

  • 8+ years in strategic foresight, innovation consulting, or emerging tech
  • Advanced degree in Futures Studies, Systems Engineering, or MBA from top-tier institution
  • Published thought leadership in IEEE Spectrum or HBR (minimum 3 citations)
  • Expertise in horizon scanning, Delphi methodology, and trend impact analysis
  • Proven track record of scaling exponential technologies to enterprise level
  • Fluency in 2+ languages with experience in APAC/EMEA markets
  • Portfolio of 2020-2025 trend predictions with 85%+ accuracy
  • Proficiency in Foresight Pro, Gartner Hype Cycle, and scenario modeling tools

Required Skills

strategic foresight trend analysis innovation strategy scenario planning AI ethics quantum computing biotech disruption systems thinking

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