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Information Technology 🏢 Full Time ⭐️ Verified

Future Technology Strategist

Innovate Tomorrow Inc.
San Francisco
Estimated Salary
USD 150.000 – USD 200.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Join Innovate Tomorrow Inc. at the forefront of technological evolution! We're seeking a visionary Future Technology Strategist to architect our roadmap for 2026 and beyond. This pivotal role demands a blend of cutting-edge technical expertise and strategic foresight to transform emerging trends into actionable business solutions. You'll collaborate with cross-functional teams to identify breakthrough opportunities, mitigate future risks, and position our company as an industry pioneer. If you thrive in ambiguity and are passionate about shaping tomorrow's digital landscape, this is your defining career moment.

Responsibilities

  • Develop comprehensive technology roadmaps for 2026+ horizon aligned with business objectives
  • Analyze emerging tech trends (quantum computing, AI ethics, spatial computing) for strategic adoption
  • Lead cross-functional innovation workshops to identify disruptive opportunities
  • Partner with R&D teams to prototype next-generation solutions
  • Conduct future scenario planning and risk mitigation strategies
  • Present strategic recommendations to C-suite and board stakeholders
  • Maintain competitive intelligence through global tech ecosystem scanning

Qualifications

  • 10+ years in technology strategy, product innovation, or R&D leadership
  • Expertise in emerging technologies (AI/ML, blockchain, IoT, AR/VR)
  • Proven track record of commercializing futuristic concepts
  • Strong analytical skills with data-driven decision-making
  • Exceptional communication and executive presentation abilities
  • Advanced degree in Computer Science, Engineering, or Business
  • Certifications in strategic foresight or technology forecasting preferred

Required Skills

strategic planning emerging technologies innovation management AI ethics quantum computing scenario planning R&D leadership data-driven decision making

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